Popular GitHub Repositories for Photorealistic 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

Resources of Neural Rendering

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

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

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

A General NeRF Acceleration Toolbox in PyTorch.

Differentiable rendering without approximation.

[ARXIV'25] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

A lightweight 2D graphics library for rendering texts, geometries, and images with high-performance APIs that work across various platforms.

Used for AI model generation, next-generation Blender rendering engine, texture enhancement&generation (based on ComfyUI)

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Point-NeRF: Point-based Neural Radiance Fields