For anyone interested, here's my TLDR of the video: Biggest advantage of photogrammetry method (polygonal): model is metrically valid, can be used for measurements, model is fairly lightweight as it's a model, polygonal, and also less computationally taxing to post-process for the same reason, can use in many software aand share easily. Advantage of NeRFs (radiance field): includes more scene information (distance, sky), but this info is estimated, generated (via color info aka a radiance field) in realtime so perhaps it's not the most scientifically accurate. But because a full scene is being computed, creating new "footage" from novel viewpoints is possible. Advantage of Guassian Splat (static point cloud): includes scene information like NeRFs, but is not being computed in realtime aka it's a static point cloud (or splat cloud). Because the visualization is static, Guassian Splats can be used in many visualization software (game engines like Unity, Unreal, as well as 3D software like Blender, Cinema 4D). It's "the best of both worlds". Also, of course, it's the most fun to say :)
Hi, great video - I think it clarifies to a lot of people the difference between the three different technologies. Just one thing that would have been important to mention, is the biggest advantages of NERF and GS is the ability to capture reflections, and even transparency, which is just about impossible with Photogrammetrie. Granted that your example is, of course, not the right one to demonstrate these features but maybe you have a different set of images where you can demonstrate that difference in more detail.
You're absolutely right - in fact I just went out and took some video of my car and some reflective surfaces in the rain - which would be very hard for photogrammetry to reconstruct well - I'll do a side-by-side!
GS can also rasterize thin structures much better than mesh recon or nerf. Give it a few months my bet is GS can surpass meshing in rendering quality and file size.
I have never used either of these techniques, however ever since I've seen these technologies become popular, i had a really poor understanding and had no idea how they compared, but still remained curious. This video filled the gap in my understanding perfectly
In the future, the 2 others might become an option too, but my favorite aspect of photogrametry is that being a "standard" 3D model, it can be edited in something like Blender, fixed, simplified, reworked, given PBR textures, and then used as an optimized asset in a game engine, like Unity, and for exemple, uploaded to VRChat. So after having done all the drone videos, you could just, be there as a friend, with a properly scaled world, then have your friend walk towards it, showcasing just how big it actually is.
It has an interesting backstory too! The legend goes that a utopian community wanted to hollow out the rock to use as a church - and even went so far as to begin chiseling a doorway (you can see the opening in the video/model).
There's also a problem with physics, interactivity and the rendering of anything besides real world data (procedural generation would be hell), which altogether makes it likely to only have niche use cases, though I do admit it's cool
Could be cool to use an example with more variance in material properties, to showcase how different techniques deal with things like reflectivity and transparency.
Thank you very much for the detailed explanation of the three systems, I am teaching myself to use Agisfoft Metashape for developing 3d models of cave interiors. Your video has really helped, I have just rendered your zip file of Church rock with excellent results the output quality is confirming my techniques and results for image capture underground. Excellent video.
Thanks for making this video! I've been playing with photogrammetry for about 6 - 7 years, and have only been a curious bystander with respect to neRF and GS. It's interesting but I envisioned something like neRF and GS in conjunction with 3D meshes several years ago, before learning that they exist. Your video does a wonderful job of explaining the distinction between the three, especially between neRF and GS. I watched til the end! Thank you for creating it. I'll connect with you on your social accounts and hopefully we'll run into each other in the unfolding "metaverse".
I have absolutely no affiliation with anything 3D-related though somehow I find this Gaussian Splatting thing so intriguing though I had no clear understanding what it was haha. Just that you could make high quality looking 3D renders of things with just a video. Cool to actually see a more technical and comparison video about it. Thank you for making this video!
Great comparision of different methods! Looking at the drone video vs the output, it seems clear that all these technologies will get better when we get more processing power. The current output is nowhere close the detail level of input video but there's no reason to think it couldn't be given enough computing resources.
thank you very much for this video :D superb for future developments in archaeology. I am already checking NERF with Kiri Engine, but I loved to see how to do it with the tools you mentioned. Coool!
really cool! if you map the panorama photograph to a hemisphere and a ground plane, you can get the model and the panorama to line up perfectly. the spherical mapping gizmo just needs to be in the location the panorama was captured in relation to the ground plane
Neat trick - I've always just mapped the pano to a sphere and set the gizmo to the origin/center of the sphere, but what you suggest could help with extending the ground plane imagery past the model geometry and giving the appearance of continuity. Thanks!
Very intriguing comparison. Had not heard of Gaussian Splatting previously. With Photogrammetry it would be possible to model different sun angle and lighting effects. Could be interesting to explore how the various could take advantage of video captures taken at different times of day. For example, could allow for animating time and motion. Just a thought that might be interesting to explore.
While it's true with photogrammetry you could relight the scene, the shadows are still "baked" into the texture. So in this case, Church Rock would still be casting that shadow even if you put virtual lights into the scene to reimagine it.
You're right - I captured at 1080 (my screen's max res) and upscaled it, but didn't realize it because I had my premiere clip previews set to 1/8 res, so didn't notice the blurriness! Sorry!
intersting fact is that nerf technically uses ml to search for the camera positions. the process stops when the render of the estimated volume matches the photo itself. ( within a threshold )
Thank you!! I’ve been looking for a video like this since I learnt about Gaussian splatting. Also the music you played in the showcases was chilling :))
3DGS does something similar, as everything is based on the interpolated “viewing angle”/position of the scene, which of course is tied to the conditions/time (shadow or sun) that each photo was captured under/during.
I think Gaussian splatting could be used more going forward, since it gives you a point cloud(which can be turned into a mesh) and also because it captures reflections. Btw it'd be a great tool for virtual production! Also thanks for this video
Right now I get the feeling it's very much a "solution" in search of a problem. But here's another video with some thoughts on the potential practicality: ua-cam.com/video/Ksi_RfY77SI/v-deo.html
That's why I'm here, I have driven past that rock hundreds if not thousands of times in my life. I have no knowledge about the actual subject matter of this video but I'll watch the whole thing just out of gratitude for the nostalgia.
Played a bit with gaussian splatting, but found it really hard to get rid of the garbage points/splats that are clearly visible in this video too. You need at least to try to use some kind of select box/sphere to limit them to the object in focus but even then there are stray points that you need to manually select and zap from the data.
There is some functionality for this in the current Unity project, and the updated scripts have helped eliminate many of those "floaters". I've found that it really depends on high-quality, sharp input data - so it's best to use still images rather than video frames.
Working with photogrametry for 15 years or more to. And i tested Nerf as soon as they got out, and all nice and cool untill you give them uniform reflective surfaces. Photogrametry and Nerfs do not like uniform glossy surfaces. GS have no problm, they even get transparency,. Is an insane technology, far from perfect, have very limited use case, but i can see already GS being perfect solution for then next generation of realistic 3D google maps. Are very small and a lot easyer to do then NerFs and can be used with night shots to.
Seeing Matthew's analysis of these three technologies was quite insightful. It brought to mind a question an architect friend once posed: Could one feasibly craft an architectural blueprint of a home or apartment using video footage? Considering your experience with these three tech contenders, would you say we're on the brink of making this potential a reality?
You could definitely build a rough model from video footage (provided that the video entered every room). No digitization technology (yet) will output a plan useful to an architect without substantial work by hand- however the power of these techs is that you can achieve results based on very little information (I.e. a series of photos or video) that can then be interpreted by an architect or draftsman and turned into a polished representation, like a plan or section.
@@MatthewBrennan Thank you very much for your response; I have more clues so my friend can make things more efficient. It's a matter of time before new papers are published. 🔜
This wasn't meant to be a technical video, but if you want to know more about the technicals behind 3DGS, this is a good one: ua-cam.com/video/HVv_IQKlafQ/v-deo.html
Thx for the vids - deep respect for your knowledge and sharing it. (needed to watch it in 1.5x tho - otherwise it would have been kind of as if told in slow motion xD)
It would be nice if in a few years the Gaussian splatting has a way to erase things you don't want, or correct blurry parts of a scene. Gaussian to mesh would be the holy grail.
What do you thing is currently the best technology to scan faces to create highly accurate 3d files? Which are also future proof in terms of working with them? The priority is accuracy and feasibility for a non-professional. If we are limiting to cost to maybe 5 to 10 grand? Photogrammetry, a 3D scanner like from Einscan, NeRF or anything else? Do you know of any software that could benefit from having more than 1 camera at a time for photogrammetry? When I look at professional studios, they have like a hundred cameras surrounding a person that gets scanned.
Photogrammetry would fit the bill, but you'd need a multi-camera rig. I've scanned a live subject (just the bust - shoulders + head) with a single camera, but it required quite a bit of cleanup in 3D sculpting software. A calibrated high-resolution, multi-camera solution would be the way to go.
Ah yeah, I see that now. Unfortunately I screencaptured at 1080 (my monitor's max) and then upscaled to match the NeRF/Gaussian videos (4k), and had my premiere preview set to 1/8 res. Whoops. I'll fix it for future ones - thanks for pointing it out!
This is nuts for set design, remodels... Be interesting to see what could be done with scopes for plumbers, both doctors and the ones with the butt crackin.
like a comparison of the data/size on disk? 3DGS and photogrammetry are more lightweight than NeRF - particularly if you want to run it in real-time, where NeRF is very taxing on your GPU.
It's me or from 8:30 and a half the quality of video seems 480? I can appreciate the quality correctly because seems a 480p video rescalated. Aside of that the video is very interesting.
if you have an rtx series gpu may i suggest "nvidea broadcast" for your mic. it has amazing background noise suppression that works in real time and doesn't reduce the quality by much at all, especially compared to hearing air vents or water leaks.
Right now, I think the primary application is in virtual production. This is a relatively new method, so I'm sure as it evolves, new applications will develop. At the moment it is not a straight replacement for any existing digitization or visualization technology.
Hi Matthew! Thanks for this video. I'm new and a total noob to this field. I'm a Marketer and my line of work I'm having to learn a lot of these things including reality capture, photogrammetry, NeRFs, 3D GS, Digital Twin. Do you have videos that are educational about these aspects which would help a beginner like me to understand the basics?
Hi Matthew. Great video explanation. Which drone did you use for this test? Do you have by any chance any more drone footage? Have you use the DJI Mavick 3 pro Cine for photogrammetry? Thanks.
I used a Mavic 2 for this model. I have used a number of different drones for photogrammetry in the past, but haven't tried the Mavic 3 yet, although I don't think the Cine model adds anything particularly useful for traditional photogrammetry.
Good video, but I have some tips. 1: Get a capture card so your system usage doesn't effect quality, it's hard to tell which method is better when the resource intensive ones are in 240p. And 2: either write a script or, if you want to maintain your natural manner of speaking, do a dry run first. Go though all your talking points once, then immediately start recording and do it again. Should help you move along a little faster and keep your pauses and "ums" to a minimum.
Hello Matthew, thank you very much for your response. I assume I need to create an mp4 file if I want to scan a gaussian splatter. What are the settings? I am really a novice in this. Previously I was doing an fps 30. Is it convenient to set fps60? Thanks in advance.
In my experience, still images (photographs) work much better than video! Follow good photogrammetric practice for capture, and then process as a 3DGS.
The photogrammetry and NeRF were processed on a desktop computer with a Ryzen 9 3900X CPU + 4070ti GPU. The Gaussian Splatting was processed with an nVidia A100 GPU.
Great video, thank you. Could you advise me how to scan an object very sharply for gaussian splatting? As it happens, I can't get it sharp. The letters are not clear. I own an android (s22 samsung, nikon z50, insta 360 x3). Which one would be the most accurate? As I am using the texture for training purpose. Thanks in advance. Greetings, Sebas
The Nikon z50 would likely be the best (physical shutter + megapixels), although of course it depends on what lens you are using. In my experience, I get the best results using a high-resolution mirrorless camera (compared to an iphone or action camera). Of course - more data = longer processing times, so there is always a trade off or compromise.
the main problem with GS its that i cant work with the model,,, i have no geometry to work with... at the end of the day y have a geometro model with a texture that i can modify and use in a 3d enviroment i create...
Yep - see this video for a discussion of Neural Surface Reconstruction: ua-cam.com/video/qFkCGvscsMQ/v-deo.html I don't think NeRFs or GS will replace meshes anytime soon, but I do like Gaussian Splat point clouds for video rendering: ua-cam.com/video/Mi27jpUC5nU/v-deo.html
Hi, you said we can export camera positions from 1st method and import it into NeRF to reduce amount of work for neural network and speed up a process. Don't you know how to do this with MeshRoom and colmap (or instant ngp)? Recently I was trying to make a NeRF with those tools but found that even after 2 days of work it was still processing the data (which are around 1200 frames from video).
Tips: you can transfert synthetic data generate by one method to another method with very nice results. We do this really often and is incredible how you can solve problems and improve the final result injecting syntetic data to the original data set. You must try.
I love how you can hear the fan going with the gaussian splatter
😂 my poor comp was breathing heavy
You can hear it from the jump when he switches to NeRF too.
@@MatthewBrennanThought it was raining there for a moment, then realized I’ve head that same sound in my office. Def taxing the GPU, but great video.
For anyone interested, here's my TLDR of the video: Biggest advantage of photogrammetry method (polygonal): model is metrically valid, can be used for measurements, model is fairly lightweight as it's a model, polygonal, and also less computationally taxing to post-process for the same reason, can use in many software aand share easily. Advantage of NeRFs (radiance field): includes more scene information (distance, sky), but this info is estimated, generated (via color info aka a radiance field) in realtime so perhaps it's not the most scientifically accurate. But because a full scene is being computed, creating new "footage" from novel viewpoints is possible. Advantage of Guassian Splat (static point cloud): includes scene information like NeRFs, but is not being computed in realtime aka it's a static point cloud (or splat cloud). Because the visualization is static, Guassian Splats can be used in many visualization software (game engines like Unity, Unreal, as well as 3D software like Blender, Cinema 4D). It's "the best of both worlds". Also, of course, it's the most fun to say :)
well put!
Another advantage of Gaussian Splat over NeRF is that the splats are real objects in 3D; you can edit, move, delete parts you don't like.
NeRF and gaussian splatting are so realistic that they even captured the wind.
hahaha
Not exaggerating, when Gaussian Splatting became to sudden prominence, I was waiting for a video exactly like this.
Hi, great video - I think it clarifies to a lot of people the difference between the three different technologies.
Just one thing that would have been important to mention, is the biggest advantages of NERF and GS is the ability to capture reflections, and even transparency, which is just about impossible with Photogrammetrie. Granted that your example is, of course, not the right one to demonstrate these features but maybe you have a different set of images where you can demonstrate that difference in more detail.
You're absolutely right - in fact I just went out and took some video of my car and some reflective surfaces in the rain - which would be very hard for photogrammetry to reconstruct well - I'll do a side-by-side!
photogrammetry*
GS can also rasterize thin structures much better than mesh recon or nerf. Give it a few months my bet is GS can surpass meshing in rendering quality and file size.
Good point
I have never used either of these techniques, however ever since I've seen these technologies become popular, i had a really poor understanding and had no idea how they compared, but still remained curious. This video filled the gap in my understanding perfectly
The splatter is really cool looking. Looks like a hallucination or a dream
In the future, the 2 others might become an option too, but my favorite aspect of photogrametry is that being a "standard" 3D model, it can be edited in something like Blender, fixed, simplified, reworked, given PBR textures, and then used as an optimized asset in a game engine, like Unity, and for exemple, uploaded to VRChat.
So after having done all the drone videos, you could just, be there as a friend, with a properly scaled world, then have your friend walk towards it, showcasing just how big it actually is.
so can gausian splats
That's an amazingly beautiful rock formation, not that it's the topic of the video but just felt like mentioning it
It has an interesting backstory too! The legend goes that a utopian community wanted to hollow out the rock to use as a church - and even went so far as to begin chiseling a doorway (you can see the opening in the video/model).
This was exactly what i was looking for! I tried gaussian in unity in vr. I have to try with your conclusion. Thanks!!! Subscribed! :)
At last, a serious and in-depth video without hyperactive editing and gimmicks 👍 Amazing how NeRFs and splats give you that change in lighting.
This is absolutely amazing! I think Gaussian Splatting might replace rasterised/polygonal rendering in the near future!
GS is great, but it will be a real challenge to invent an optimized way of applying real time lighting
@@dmitriytuchashvili8594 agree, interactive lightning is the main issue
Curious to see how GS handles reflections, normals, displacements, transluscency and so on.
There's also a problem with physics, interactivity and the rendering of anything besides real world data (procedural generation would be hell), which altogether makes it likely to only have niche use cases, though I do admit it's cool
@@constantinosschinas4503 see this video: ua-cam.com/video/gheD8vrOJNI/v-deo.html
Could be cool to use an example with more variance in material properties, to showcase how different techniques deal with things like reflectivity and transparency.
See my video here :) Reflective Object: Gaussian Splatting radiance field vs. Photogrammetry mesh
ua-cam.com/video/gheD8vrOJNI/v-deo.html
I think photogrametry and some kind of Gaussian splatting will be fused one day
Thanks for posting this. Adding Houdini to your tool set will give you the ability to leverage volumes and point clouds to their fullest potential.
Thank you very much for the detailed explanation of the three systems, I am teaching myself to use Agisfoft Metashape for developing 3d models of cave interiors. Your video has really helped, I have just rendered your zip file of Church rock with excellent results the output quality is confirming my techniques and results for image capture underground. Excellent video.
Thanks for making this video! I've been playing with photogrammetry for about 6 - 7 years, and have only been a curious bystander with respect to neRF and GS. It's interesting but I envisioned something like neRF and GS in conjunction with 3D meshes several years ago, before learning that they exist. Your video does a wonderful job of explaining the distinction between the three, especially between neRF and GS. I watched til the end! Thank you for creating it. I'll connect with you on your social accounts and hopefully we'll run into each other in the unfolding "metaverse".
I have absolutely no affiliation with anything 3D-related though somehow I find this Gaussian Splatting thing so intriguing though I had no clear understanding what it was haha. Just that you could make high quality looking 3D renders of things with just a video. Cool to actually see a more technical and comparison video about it. Thank you for making this video!
Great comparision of different methods! Looking at the drone video vs the output, it seems clear that all these technologies will get better when we get more processing power. The current output is nowhere close the detail level of input video but there's no reason to think it couldn't be given enough computing resources.
thank you very much for this video :D superb for future developments in archaeology. I am already checking NERF with Kiri Engine, but I loved to see how to do it with the tools you mentioned. Coool!
Thanks for the good comparison video! You did a great job highlighting many of the topics of interest! 👏👏👏
11:26 bro uploaded the video in 4k but recorded the screen with an amazon doorbell camera 💀
😂 yep. Lesson learned. The renderings were 4K but my screen recording was 1080 🥲
Lol
really cool! if you map the panorama photograph to a hemisphere and a ground plane, you can get the model and the panorama to line up perfectly. the spherical mapping gizmo just needs to be in the location the panorama was captured in relation to the ground plane
Neat trick - I've always just mapped the pano to a sphere and set the gizmo to the origin/center of the sphere, but what you suggest could help with extending the ground plane imagery past the model geometry and giving the appearance of continuity. Thanks!
Very intriguing comparison. Had not heard of Gaussian Splatting previously. With Photogrammetry it would be possible to model different sun angle and lighting effects. Could be interesting to explore how the various could take advantage of video captures taken at different times of day.
For example, could allow for animating time and motion. Just a thought that might be interesting to explore.
While it's true with photogrammetry you could relight the scene, the shadows are still "baked" into the texture. So in this case, Church Rock would still be casting that shadow even if you put virtual lights into the scene to reimagine it.
Amazing comparison! And very cool flying scenes for NeRF and Gaussian Splats.
Nobody gonna talk about how the rock looks like a space ship that turned into stone?
🚀
honestly I love the gaussian splatting look. Especially when you move "too" close :D
I love the examples, and the discussion on the technical differences. Though could definitely use better quality screen capture.
You're right - I captured at 1080 (my screen's max res) and upscaled it, but didn't realize it because I had my premiere clip previews set to 1/8 res, so didn't notice the blurriness! Sorry!
@@MatthewBrennan Some great points in there. Thanks for the vid.
Looks more like 360p mate, maybe you set premiere to render using preview cache @@MatthewBrennan
@@lemovision could be- I think I fixed it for subsequent exports, at least 🙃
UA-cam compression likely not helping either.
Thanks for the video! The best way to learn the difference about NeRF and gaussian splatting 🙏🏻
The fan kicking on when the Gaussian Splat started rendering got to me 🤣🤣
intersting fact is that nerf technically uses ml to search for the camera positions. the process stops when the render of the estimated volume matches the photo itself. ( within a threshold )
Great video, I think if you reuploaded this with better quality it could gather even more attention.
Unfortunately I don’t think you can replace previous uploads on UA-cam
Thank you!! I’ve been looking for a video like this since I learnt about Gaussian splatting. Also the music you played in the showcases was chilling :))
Thank you, it was very educational and enjoyable video!
Very valuable information for us 3D creators. Thank you very much!
Thanks a lot! That was exactly the quick introduction to the subject that I needed!
Good comparison and review. Good notes, links in the video info grey area.
Enjoyable and educational! Thanks Matthew!
Interesting how the NeRF has captured the changing cloud shadow over time as a positional aspect
3DGS does something similar, as everything is based on the interpolated “viewing angle”/position of the scene, which of course is tied to the conditions/time (shadow or sun) that each photo was captured under/during.
I think Gaussian splatting could be used more going forward, since it gives you a point cloud(which can be turned into a mesh) and also because it captures reflections. Btw it'd be a great tool for virtual production! Also thanks for this video
interesting , good informative vid , thankyou, as a side note, lets consider Bob ross once painted 50 sheds and 1 tree.
It seems that the next step is a neural/AI enhanced version of guassian splatting to improve quality/render performance/data size.
Ooh thanks for this overview. Very helpful.
Thanks - I'd like to see a comparison of how you would actually use these in production - especially NERF and splatting.
Right now I get the feeling it's very much a "solution" in search of a problem. But here's another video with some thoughts on the potential practicality: ua-cam.com/video/Ksi_RfY77SI/v-deo.html
Very nice!
Oh hey I've been there. Recognized it before you even said "Church Rock". Nice stretch of road just outside Canyonlands National jawdropping park.
That's why I'm here, I have driven past that rock hundreds if not thousands of times in my life. I have no knowledge about the actual subject matter of this video but I'll watch the whole thing just out of gratitude for the nostalgia.
superb explanation...thank you for sharing your knowledge.
Pity about the low resolution. I assume it's low resolution as that's how it appears on my computer, even at 4K. Very interesting though!
Yea, I accidentally screen captured at 1080, but rendered everything at 4K!
Great comparison. Thanks!
you can also compare nvidia's neuralangelo. that would be great
Great comparison! Could you have cropped the splats that were interrupting the sky in your Unity example for a cleaner look - or is that limited?
In theory it should be possible, because the splats are directly related to the sparse cloud from COLMAP - I'm planning to investigate this.
Thank you for explaining brother! 💪
The last shot is really good!
It should be no problem to import the photogrammetry model into blender, import a world texture (photosphere) and render a similar camera path.
very very interesting
Played a bit with gaussian splatting, but found it really hard to get rid of the garbage points/splats that are clearly visible in this video too. You need at least to try to use some kind of select box/sphere to limit them to the object in focus but even then there are stray points that you need to manually select and zap from the data.
There is some functionality for this in the current Unity project, and the updated scripts have helped eliminate many of those "floaters". I've found that it really depends on high-quality, sharp input data - so it's best to use still images rather than video frames.
Thanks for the video and links.
Working with photogrametry for 15 years or more to. And i tested Nerf as soon as they got out, and all nice and cool untill you give them uniform reflective surfaces. Photogrametry and Nerfs do not like uniform glossy surfaces. GS have no problm, they even get transparency,. Is an insane technology, far from perfect, have very limited use case, but i can see already GS being perfect solution for then next generation of realistic 3D google maps. Are very small and a lot easyer to do then NerFs and can be used with night shots to.
I'd say, if your using reflective or translucent surfaces,i 100% recommend nerfs instead of photogrammatry, cuz it does it somuch better
I made another video explicitly comparing the two- the photogrammetry model actually turned out pretty well.
Wonderful work, really appreciate it
Imaging google earth with gaussian splatting.
Seeing Matthew's analysis of these three technologies was quite insightful. It brought to mind a question an architect friend once posed: Could one feasibly craft an architectural blueprint of a home or apartment using video footage? Considering your experience with these three tech contenders, would you say we're on the brink of making this potential a reality?
You could definitely build a rough model from video footage (provided that the video entered every room). No digitization technology (yet) will output a plan useful to an architect without substantial work by hand- however the power of these techs is that you can achieve results based on very little information (I.e. a series of photos or video) that can then be interpreted by an architect or draftsman and turned into a polished representation, like a plan or section.
@@MatthewBrennan Thank you very much for your response; I have more clues so my friend can make things more efficient.
It's a matter of time before new papers are published. 🔜
Great work! Keep doing the stuff! Like and subcribed!
thanks this was super helpful
I don't know what is the third method more than I did before starting your video
This wasn't meant to be a technical video, but if you want to know more about the technicals behind 3DGS, this is a good one: ua-cam.com/video/HVv_IQKlafQ/v-deo.html
Thx for the vids - deep respect for your knowledge and sharing it. (needed to watch it in 1.5x tho - otherwise it would have been kind of as if told in slow motion xD)
😂
Ok. Why did the psychedelic sky of the gaussian splat give me a panic attack? I'm going to call it a Splat Attack.
It would be nice if in a few years the Gaussian splatting has a way to erase things you don't want, or correct blurry parts of a scene. Gaussian to mesh would be the holy grail.
It's possible (albeit somewhat crudely) to edit the Gaussian cloud now, in Unity.
What do you thing is currently the best technology to scan faces to create highly accurate 3d files? Which are also future proof in terms of working with them? The priority is accuracy and feasibility for a non-professional. If we are limiting to cost to maybe 5 to 10 grand? Photogrammetry, a 3D scanner like from Einscan, NeRF or anything else? Do you know of any software that could benefit from having more than 1 camera at a time for photogrammetry? When I look at professional studios, they have like a hundred cameras surrounding a person that gets scanned.
Photogrammetry would fit the bill, but you'd need a multi-camera rig. I've scanned a live subject (just the bust - shoulders + head) with a single camera, but it required quite a bit of cleanup in 3D sculpting software. A calibrated high-resolution, multi-camera solution would be the way to go.
Well described ❤ Appreciate ❤
I wish the source videos were higher quality... Especially the Nerf part is painful to watch
Ah yeah, I see that now. Unfortunately I screencaptured at 1080 (my monitor's max) and then upscaled to match the NeRF/Gaussian videos (4k), and had my premiere preview set to 1/8 res. Whoops. I'll fix it for future ones - thanks for pointing it out!
This is nuts for set design, remodels... Be interesting to see what could be done with scopes for plumbers, both doctors and the ones with the butt crackin.
Cool. Thanks for sharing.
Nice comparison! And finally, someone pronounces "Gaussian" correctly. Tired of these other youtube "gawzhin splatting" experts.
Drop those sources/channels as i never heard anybody saying Gaussian in other way than in this video - you just found yourself in wrong place :)
Outstanding! How about size comparison? Thanks
like a comparison of the data/size on disk? 3DGS and photogrammetry are more lightweight than NeRF - particularly if you want to run it in real-time, where NeRF is very taxing on your GPU.
The subject is actually a star destroyer but shhht, it's a rock
It's me or from 8:30 and a half the quality of video seems 480?
I can appreciate the quality correctly because seems a 480p video rescalated.
Aside of that the video is very interesting.
That was good man - thanks
if you have an rtx series gpu may i suggest "nvidea broadcast" for your mic. it has amazing background noise suppression that works in real time and doesn't reduce the quality by much at all, especially compared to hearing air vents or water leaks.
Thanks for the suggestion - I'll check broadcast out. I learned a lot about recording videos at home (since) making this video.
Very cool work thanks!
Is this purpose-driven for a particular field? I've always been fond of the intersection between geospatial tech and the broader CS/gaming world.
Right now, I think the primary application is in virtual production. This is a relatively new method, so I'm sure as it evolves, new applications will develop. At the moment it is not a straight replacement for any existing digitization or visualization technology.
Thanks for the good video and for providing the nice dataset. What is the focal length of your drone's camera (full frame equivalent)?
35mm equivalent is ~28mm. It's a 1" CMOS 20mpx sensor (for still images). However this dataset uses 4k video.
@@MatthewBrennan thanks for your answer. I'm trying to run your dataset using micmac photogrammetry. I'll let you know if I get good results!
great video. except that the definition is not good even in 2160, it appeared blurry ?
Hi Matthew! Thanks for this video. I'm new and a total noob to this field. I'm a Marketer and my line of work I'm having to learn a lot of these things including reality capture, photogrammetry, NeRFs, 3D GS, Digital Twin. Do you have videos that are educational about these aspects which would help a beginner like me to understand the basics?
Why the video is blurred at 1440p?
Hi Matt, are you testing with NV Omniverse? Great video!
No. I tried it about a year ago but didn't find it very compelling.
Hi Matthew. Great video explanation. Which drone did you use for this test? Do you have by any chance any more drone footage? Have you use the DJI Mavick 3 pro Cine for photogrammetry? Thanks.
I used a Mavic 2 for this model. I have used a number of different drones for photogrammetry in the past, but haven't tried the Mavic 3 yet, although I don't think the Cine model adds anything particularly useful for traditional photogrammetry.
Great job, subbed. 🎉
Where is the panorama sphere texture coming from that you used in the end?
It’s a panorama I took using a UAV directly above church rock.
Good video, but I have some tips. 1: Get a capture card so your system usage doesn't effect quality, it's hard to tell which method is better when the resource
intensive ones are in 240p. And 2: either write a script or, if you want to maintain your natural manner of speaking, do a dry run first. Go though all your talking points once, then immediately start recording and do it again. Should help you move along a little faster and keep your pauses and "ums" to a minimum.
Hello Matthew, thank you very much for your response. I assume I need to create an mp4 file if I want to scan a gaussian splatter. What are the settings? I am really a novice in this. Previously I was doing an fps 30. Is it convenient to set fps60? Thanks in advance.
In my experience, still images (photographs) work much better than video! Follow good photogrammetric practice for capture, and then process as a 3DGS.
Matthew, may i know what is your computer specification when creating this?
The photogrammetry and NeRF were processed on a desktop computer with a Ryzen 9 3900X CPU + 4070ti GPU. The Gaussian Splatting was processed with an nVidia A100 GPU.
Big up my friend!
The capture of the SW is really blurry 😞
Man is that a rocket fan?
GPU goes brrrrrzzzzz
Great video, thank you. Could you advise me how to scan an object very sharply for gaussian splatting? As it happens, I can't get it sharp. The letters are not clear. I own an android (s22 samsung, nikon z50, insta 360 x3). Which one would be the most accurate? As I am using the texture for training purpose. Thanks in advance. Greetings, Sebas
The Nikon z50 would likely be the best (physical shutter + megapixels), although of course it depends on what lens you are using. In my experience, I get the best results using a high-resolution mirrorless camera (compared to an iphone or action camera). Of course - more data = longer processing times, so there is always a trade off or compromise.
the main problem with GS its that i cant work with the model,,, i have no geometry to work with... at the end of the day y have a geometro model with a texture that i can modify and use in a 3d enviroment i create...
Yep - see this video for a discussion of Neural Surface Reconstruction: ua-cam.com/video/qFkCGvscsMQ/v-deo.html
I don't think NeRFs or GS will replace meshes anytime soon, but I do like Gaussian Splat point clouds for video rendering: ua-cam.com/video/Mi27jpUC5nU/v-deo.html
what is the name of the music used at 14:30?
Hi, you said we can export camera positions from 1st method and import it into NeRF to reduce amount of work for neural network and speed up a process. Don't you know how to do this with MeshRoom and colmap (or instant ngp)? Recently I was trying to make a NeRF with those tools but found that even after 2 days of work it was still processing the data (which are around 1200 frames from video).
I use metashape instead of COLMAP, because COLMAP is very slow and gives subpar results (it’s open source though, which is nice).
@@MatthewBrennan I'll check this as well, thanks.
Tips: you can transfert synthetic data generate by one method to another method with very nice results. We do this really often and is incredible how you can solve problems and improve the final result injecting syntetic data to the original data set. You must try.