neural-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.

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

[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

Resources of Neural Rendering

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

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

[ECCV`24&ICLR`25] CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians

DLSS 5 Neural Rendering for Images & Video with Frame Generation, RTX Video Super Resolution, HDR, and Live Playback

Point-NeRF: Point-based Neural Radiance Fields

Easy NeRF synthetic dataset creation within Blender

DLSS 5 NR on your whole Windows desktop, in real time with Boost, FG, etc. RTX 30/40/50, 12 languages, user presets, recording with audio, one-window mode.

Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination

Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.

A cross-platform, high performance renderer for Gaussian Splatting using Vulkan Compute. Supports Windows, Linux, macOS, iOS, and visionOS

Collecting papers about new view synthesis

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

Generative World Renderer: an AI-native Renderer for Games and Virtual Worlds.