NeRF
Minimal Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.
Result of Tiny-NeRF
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A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Overview
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Releases(v0.1)
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v0.1(Dec 21, 2021)
A simple and minimal implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis trained on the Tiny-NeRF Dataset on TPUv2 on Google Colab. The inference checkpoint and rendered videos are provided as part of this release.
Source code(tar.gz)
Source code(zip)
depth.mp4(76.13 KB)
inference_1(5.41 MB)
rgb.mp4(104.95 KB)
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
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