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nerf-pytorch reviews and mentions
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[D] Something basic I don't understand about Nerfs
Found relevant code at https://github.com/yenchenlin/nerf-pytorch + all code implementations here
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helpful pointers to state-of-the-art material for depth estimation from multi-view videos captured from cameras with arbitrary poses.
I have been curious about NeRF and have tried out the software. I really like the idea, but I have found generating the NeRF representation to be too slow and does not do seem to do too well if the number of cameras in the rig are a bit sparse. I have seen that there have been some evolution and variations of the NeRF concept and I am looking into some of them currently.
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[P] Minimal PyTorch implementation of NeRF. Full model implementation and training code in 320 lines.
While there are other PyTorch implementations out there (e.g., this one and this one), I personally found them somewhat difficult to follow, so I decided to do a complete rewrite of NeRF myself. I tried to stay as close to the authors' text as possible, and I added comments in the code referring back to the relevant sections/equations in the paper. The final result is a tight 374 lines of heavily commented code (320 sloc—"source lines of code"—on GitHub) all contained in a single file. For comparison, this PyTorch implementation has approximately 970 sloc spread across several files, while this PyTorch implementation has approximately 905 sloc. A Colab notebook for the full model can be found here.
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
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yenchenlin/nerf-pytorch is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of nerf-pytorch is Python.
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