Highlights
- Pro
Stars
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
Easily display interactive 3D models on the web and in AR!
[SIGGRAPH 2024] Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning
A C++ & Python viewer for 3D data like meshes and point clouds
Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
The code for "NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering (CVPR 2023)"
A unified framework for 3D content generation.
Some simple Blender scripts for rendering paper figures
Open3D: A Modern Library for 3D Data Processing
[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
code for paper "Learning to Generate 3D Shapes from a Single Example", SIGGRAPH Asia 2022
A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.