Popular GitHub Repositories for Differentiable Rendering

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

A PyTorch Library for Accelerating 3D Deep Learning Research

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

Lightning fast C++/CUDA neural network framework

A procedural Blender pipeline for photorealistic training image generation

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Resources of Neural Rendering

Real-time end-to-end singing voice conversion system based on DDSP (Differentiable Digital Signal Processing)

A library for differentiable nonlinear optimization

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

A general-purpose probabilistic programming system with programmable inference

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

A differentiable PDE solving framework for machine learning

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

High-performance automatic differentiation of LLVM and MLIR.