Unofficial implementation of Tensorial Radiance Fields (Chen & Xu ‘22)
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Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Direct voxel grid optimization for fast radiance field reconstruction.
Multiple dispatch over abstract array types in JAX.
Frechet Inception Distance in JAX
Canonical Factors for Hybrid Neural Fields @ ICCV 2023
Plenoxels: Radiance Fields without Neural Networks
Rigid transforms + Lie groups in JAX
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating poin...
[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
This project attempts to build neural network training and lightweighting cookbook including thre...
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax