Instant NGP in 100 lines of PyTorch code | NeRF #13
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- Опубліковано 8 вер 2024
- Pure Python / PyTorch implementation of the paper "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding" in 100 lines of PyTorch code.
Udemy course about NeRF: www.udemy.com/...
Link to the paper: arxiv.org/abs/...
GitHub: github.com/Max...
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CONTACT: papers.100.lines@gmail.com
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Exactly what im looking for. Thanks friend! Make more of these
Thank you! Will do
Here before this channel blows up ;
Really nice works 🔥
Thank you so much!
Really great work!🎉
Would love to see implementation of RL papers and foundational models.
Thank you! This is planned! Should be released in the coming months
great tutorial. I am also wondering which theme you use in the video btw
Hi @anhtth2207, thank you for your question. Do you mean the sublime text theme? If yes, this is the default theme
Thank you so muchhh!!
Thank you! :)
Thank you very much for this video.
My pleasure :)
great tutorial brother!
Thank you so much! :)
hey can you please explain how can we render the images in 'novel_view' in to a 3D object. Does it require photogrammetry?
Thank you for your question.
The learned NeRF representation is a 3D model of the object.
The most commonly used approach to obtain another representation (e.g. mesh) is to do a 3D to 3D conversion using algorithms such as Marching Cubes.
Another possible approach, more closely related to what you suggest, is to use the NeRF representation to generate more views -- and potentially depths -- so that they can be fed to an algorithm such as TSDF (truncated signed distance function) Fusion.