nv-tlabs
NVIDIA Spatial Intelligence Lab (SIL) Joined Apr 2019 View on GitHub
- Stars
- 44,317
- across 124 public repos
- Rank
- #681
- of 94,827 organizations, top 0.7%
- New on the board this week
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 14,842 | Python | 4,424 | |
| 15,929 | Official implementation of Kimodo, a kinematic motion diffusion model for high-quality human(oid) motion generation. | Python | 4,135 |
| 23,726 | Project Lyra: Open Generative 3D World Models | Python | 2,857 |
| 27,241 | Ray tracing and hybrid rasterization of Gaussian particles | Python | 2,493 |
| 30,978 | ViPE: Video Pose Engine for Geometric 3D Perception | Python | 2,196 |
| 47,238 | [CVPR 2025 Highlight] GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control | Jupyter Notebook | 1,450 |
| 49,159 | Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020) | Python | 1,393 |
| 52,218 | [CVPR 2025 Oral & Best Paper Finalist] Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models | Python | 1,307 |
| 57,570 | Unifying 3D Mesh Generation with Language Models | Python | 1,174 |
| 59,576 | Adversarial skill embeddings for training reusable controllers for physically simulated characters. | Python | 1,131 |
| 61,527 | [NeurIPS 2026] PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion | Python | 1,089 |
| 63,024 | Official implementation of ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation (SIGGRAPH 2026). | Python | 1,060 |
| 65,899 | [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction | Cuda | 1,007 |
| 70,199 | Gated-Shape CNN for Semantic Segmentation (ICCV 2019) | Python | 939 |
| 71,024 | Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral) | Python | 927 |
| 75,306 | Python | 871 | |
| 76,442 | Cosmos-Transfer1-DiffusionRenderer: High-quality video de-lighting and re-lighting based on Cosmos video diffusion framework | Jupyter Notebook | 857 |
| 78,221 | Latent Point Diffusion Models for 3D Shape Generation | Python | 836 |
| 91,153 | Python | 710 | |
| 91,275 | [ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation | Python | 709 |
| 96,418 | Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019) | Python | 667 |
| 100,653 | Python | 637 | |
| 109,997 | Implementation of Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players | Python | 578 |
| 114,000 | Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models | Jupyter Notebook | 556 |
| 115,672 | [CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies | Python | 547 |
| 119,271 | [NeurIPS 2024] SCube: Instant Large-Scale Scene Reconstruction using VoxSplats | Python | 529 |
| 126,693 | Official implementation of Déjà View: Looping Transformers for Multi-View 3D Reconstruction | Python | 494 |
| 129,489 | STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019) | Jupyter Notebook | 482 |
| 130,684 | [ICCV 2025] PartField: Learning 3D Feature Fields for Part Segmentation and Beyond | Python | 477 |
| 132,422 | Physically-Plausible Image Signal Processing (PPISP) for Radiance Field Reconstruction | Python | 470 |
| 141,197 | [CVPR'25 Oral] Official implementation for "DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models" | Python | 437 |
| 147,151 | Encoder-Free Unified Image and Video Understanding and Generation | Python | 417 |
| 167,207 | NVIDIA OmniDreams is a world model that generates photorealistic video for autonomous-driving simulation in real time. | Python | 361 |
| 172,679 | Python | 348 | |
| 173,567 | Official implementation for SIGGRAPH 2023 paper "Learning Physically Simulated Tennis Skills from Broadcast Videos" | Python | 346 |
| 174,930 | Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021 | Python | 343 |
| 207,103 | [CVPR'26] TokenGS: Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens | Python | 282 |
| 220,719 | [NeurIPS 2024] L4GM: Large 4D Gaussian Reconstruction Model | Python | 262 |
| 234,986 | Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020) | Python | 243 |
| 248,654 | 227 | ||
| 272,547 | Score-Based Generative Modeling with Critically-Damped Langevin Diffusion | Python | 203 |
| 286,750 | Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020) | Cuda | 191 |
| 291,819 | Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/ | Python | 187 |
| 297,107 | Meta-Sim: Learning to Generate Synthetic Datasets (ICCV 2019) | Python | 183 |
| 309,796 | Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior" | Python | 174 |
| 325,470 | NVIDIA Fixer is a single-step diffusion model that removes reconstruction artifacts from rendered views for autonomous vehicle and robotics simulation. | Python | 164 |
| 339,268 | Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction | Python | 156 |
| 342,860 | Grid-Free Monte Carlo Solvers for Physics Simulations Involving Partial Differential Equations | C++ | 154 |
| 352,327 | Implementation of "Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation" from CVPR Workshop on Human Motion Generation 2024. | Python | 149 |
| 364,287 | [ICCV 2025] InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models | Python | 143 |
| 379,570 | [NeurIPS 2025] UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting | Jupyter Notebook | 136 |
| 393,443 | Official implementation of TRACE, the TRAjectory Diffusion Model for Controllable PEdestrians, from the CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory... | Python | 130 |
| 403,474 | [SIGGRAPH 2024] Diffusion Texture Painting | Python | 126 |
| 436,799 | Official implementation of PACER, Pedestrian Animation ControllER, of CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion". | Python | 114 |
| 455,871 | Differentially Private Diffusion Models | Python | 108 |
| 459,235 | 107 | ||
| 484,545 | Code release for DriveGAN (CVPR 2021) | CSS | 100 |
| 492,025 | 98 | ||
| 503,967 | GENIE: Higher-Order Denoising Diffusion Solvers | Python | 95 |
| 516,721 | Python | 92 | |
| 516,721 | Official implementation of TeSMo, a method for text-controlled scene-aware motion generation, from the ECCV 2024 paper: "Generating Human Interaction Motions in Scenes with Text Control". | Python | 92 |
| 525,778 | project page: https://nv-tlabs.github.io/big-datasetgan/ | Python | 90 |
| 577,198 | Python | 80 | |
| 600,866 | Python | 76 | |
| 620,075 | VoMP: Predicting Volumetric Mechanical Property Fields | Python | 73 |
| 626,825 | Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation | Python | 72 |
| 752,808 | Learning to Evaluate Perception Models Using Planner-Centric Metrics | Python | 57 |
| 821,538 | [ICML 2026] Official code for paper: Test-Time Training with KV Binding Is Secretly Linear Attention | 51 |
Among 94,827 organizations
40k–63k stars: 367 organizations, including nv-tlabs
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 38.3k stars, 86% · 55 repos
- Jupyter Notebook 3.5k stars, 8% · 5 repos
- Cuda 1.2k stars, 3% · 2 repos
- C++ 154 stars, <1% · 1 repo
- CSS 100 stars, <1% · 1 repo
When they were made
68 repos with 50+ stars, made between 2019 and 2026
Quick stats
- Next rank
- +148 stars to reach #680
- Next milestone
- +146,452 stars to reach the top 0.1%
- Public repos
- 124, 68 with 50+ stars
- Popular repos
- 57 over 100 stars, 13 over 1k stars
- Top repo
- GET3D, #14,842 of all repos, 10% of stars
- Smaller repos
- 648 stars from repos under 50