Stars
Source code for the SIGGRAPH 2024 conference paper "Neural Geometry Fields for Meshes"
Official repository for "One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns"
Code for wave optics based appearance modeling of different types of iridescent feathers.
Fully open reproduction of DeepSeek-R1
Latest Advances on Autoregressive Visual Models.📖
A web app for creating and simulating 2D geometric optical scenes, with a gallery of (interactive) demos.
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…
High-Resolution Image Synthesis with Latent Diffusion Models
Official implementation of OneDiffusion paper
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
A generative world for general-purpose robotics & embodied AI learning.
[ToG (SIGGRAPH Asia 2024 Journal Track)] Official code release for paper: 🎯"DARTS: Diffusion Approximated Residual Time Sampling for Time-of-flight Rendering in Homogeneous Scattering Media"
sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)
Source Code for SIGGRAPH Asia 2024 Paper "Spatiotemporal Bilateral Gradient Filtering for Inverse Rendering"
Curated list of project-based tutorials
Vulkan Implementation of NVIDIA's paper Real-time Neural Radiance Caching for Path Tracing.
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
A procedural Blender pipeline for photorealistic training image generation
🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
The official repo for [Neural Differential Appearance Equations, TOG (SIGGRAPH Asia 2024)]
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
A debugging and profiling tool that can trace and visualize python code execution