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NVIDIA
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- https://wilsoncernwq.github.io
Stars
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
OrangeEarth15 / 3dgrut
Forked from nv-tlabs/3dgrutRay tracing and hybrid rasterization of Gaussian particles
LichtFeld Studio: Where reality and the digital world blend.
Cosmos-Transfer1-DiffusionRenderer: High-quality video de-lighting and re-lighting based on Cosmos video diffusion framework
[ICLR 2025 Oral] On Scaling Up 3D Gaussian Splatting Training
Official code release for "Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency"
[NeurIPS 2025] Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Reproducible evaluation of NeRF and 3DGS methods
MAGI-1: Autoregressive Video Generation at Scale
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
This repository contains the implementation of our novel approach associated with the paper "Don't Splat Your Gaussians" to modeling and rendering scattering and emissive media using volumetric pri…
Three.js-based implementation of 3D Gaussian splatting
A visualization library for many-threaded devices.
Out-of-core solution for large structured volume grids (voxels) access from GPU
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Ray tracing and hybrid rasterization of Gaussian particles
Original reference implementation of "EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis"
OptiX SDK headers, everything needed to build & run OptiX applications. SDK samples not included.
[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
Header files of utilizing MFA for encoding multivariate tensor
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.