Відео

...a good reminder to keep up w/ my pytorch studies.

The English subtitles are not in-sync with the video !! someone please help 😭

What an incredible time we live in where one of the authors of the paper can explain it to the masses via a public forum like this! Incredible and mind expanding work guys! Thankyou so much :)

Can someone give a link to the Colab discussed around 12:00

cc is a bit offset but overall is great!

Loved this talk, thanks =)

very good explanation

Awesome talk!

whats the difference between this and photogrammetry?

Noice 👍

@12:00 -- Thanks for the interruption and asking if the TIME taken for Inference did not matter for a use case then how will CenterNet compare to other detectors -- thanks

45:32 - "were never going to get real time NeRF" and then came Instant-NeRF ... never say never

nice talk. keep going

where is that notebook speaker is talking about

What's the difference between this and the 3d scans you get on an ipad pro? Apart from the fact this looks better. Just trying to get my head around it.

One day these algorithms will be so good that you can simply feed all the photos on the internet (including Google Street View and Google images) and out comes a 3d digital twin of the planet. Fully populated by NPCs and driving cars. Essentially GTA for the entire planet.... With enough compute power there is no reason this will not work when combined with generative AI that fills in stuff that is missing by drawing experience from trillions of images/video/3d capture. Imagine giving a photo to a human 3d artist. He will be able to slowly make the scene in 3d from just the photo by using real world experience he has had. Here is a rule of thumb with AI: Everything a human can do (even if it is super slow), AI will eventually be able to do much much faster. Things are going to speed up a lot from here. Cancer research, alzheimer cures, aging reversal etc... Exciting times.

Very informative video !

a practical question: how do people figure out the viewing angle and position for a scene that's been captured without that dome of cameras? the dome of cameras makes it easy to know the exact viewing angle and position, but what about just a dude with one camera walking around the scene taking photos of it from arbitrary positions? how do you get theta and phi in practice?

Very nice work !! keep it up Drs.

What a WONDERFUL AMAZING work, Orz

Could you please tell how to make NeRF representation meshable?

I hit the 1Kth like!

Thanks , multilievel optical flow .

Very good explanation! Thanks for the talk.

I'm curious to know - when he said at the end that he only has 3 scenes ready to show... considering he mentioned only using 'normal' random public photos - why would this be? Is this related to the computational time required to render the finished product, or for some other reason? If the software works, then surely, give the required amount of time and computational resources, this technique could be used on a potentially infinite number of scenes, using high quality photos sourced online. Is there a manual element to this process that I've missed here, or is the access to the rendering / processing time and resources the limitation?

great idea! design optimization in a differentiable manner and integrate it into deep networks

Great explanation indeed. I have one question: is it ray tracing or ray marching? From the talk, I seemed to find it to be ray marching, but the actual phrasing in the talk was ray tracing.

I like it😃

Hi, I'm just wondering how to know the ground truth RGB color for each (x,y,z) spatial location ?

Thanks for the video

popping the link to the videos in the description of the video would make a lot of sense. Enjoyed the nerf paper.

How to acquire the slides for this tutorial?

loving it

thanks for sharing this presentation

Glad to see Seth Rogan successful with this career change.

brilliant explaination!

IIC-Net is a really innovative work

Nerf outputs transparency but all the demo videos seem to only have opaque surfaces. Does it actually work with semi-transparent objects?

Do you see any use for this with drone imagery and fields of crops? This wouldnt work for stitching images im guessing….

Excellent explanation!!!

I think cycle-consistency constraint is more effective for activating structure code and texture code

Is there a transcript for this video

This is super helpful Thank you so much

Thank you so much for this tutorial

thanks

Can i run Raft on Windows?

Great work!

lol

My name is amlan kar