Highlights
- Pro
Stars
Web-based 3D visualization + Python
Open source implementation of AlphaFold3
Refine high-quality datasets and visual AI models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
Generate 3D objects conditioned on text or images
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Official repo for consistency models.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
PyViz3D is a web-based visualizer for 3D objects and point clouds.
A Unified Framework for Surface Reconstruction
A curated list of resources on implicit neural representations.
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
[ECCV'20] Convolutional Occupancy Networks
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
🤘 awesome-semantic-segmentation
A paper list of RGBD semantic segmentation (processing)
[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
😎 A curated list of robotics libraries and software