A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields.
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields.

This repository contains the code release for Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. This implementation is written in JAX, and is a fork of Google's JaxNeRF implementation. Contact Jon Barron if you encounter any issues.

Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)

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Code release for NeRF (Neural Radiance Fields)

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Point-NeRF: Point-based Neural Radiance Fields
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"SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

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This is a JAX implementation of Neural Radiance Fields for learning purposes.

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[ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
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UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction Project Page | Paper | Supplementary | Video This reposit

Releases(v0.1)
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Soumik Rakshit
Senior Machine Learning Engineer
Soumik Rakshit
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