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PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation (ECCV 2024)
Official repository of Learning to Act from Actionless Videos through Dense Correspondences.
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
[RA-L 2023] EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
LVDM: Latent Video Diffusion Models for High-Fidelity Long Video Generation
Open-Sora: Democratizing Efficient Video Production for All
Implementation of Diffusion Transformer Model in Pytorch
Clean PyTorch implementation for equivariant robot learning with point cloud input
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
world modeling challenge for humanoid robots
Suite of human-collected datasets and a multi-task continuous control benchmark for open vocabulary visuolinguomotor learning.
Isaac Gym Reinforcement Learning Environments
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
This repository contains the code for the paper "UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence"
Code accompanying the ICML'24 paper "Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize"