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Implementing NeRF in JAX by Soumik Rakshit and Saurav Maheshkar

wandb.aisite

A tutorial on 3D volumetric rendering of scenes represented by Neural Radiance Fields in JAX.

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2026-10-10
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  1. JaxNeRF github.com

    Implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis with multi-device GPU/TPU support.

  2. SNeRG github.com

    Official implementation of Baking Neural Radiance Fields for Real-Time View Synthesis.

  3. JaxNeuS github.com

    Implementation of NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

  4. RegNeRF github.com

    Official implementation of RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.

  5. Evolving Neural Networks in JAX by Robert Tjarko Lange roberttlange.github.io

    Explores how JAX can power the next generation of scalable neuroevolution algorithms.

  6. Jax in Action manning.com

    A hands-on guide to using JAX for deep learning and other mathematically-intensive applications.

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