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Tsinghua University
- https://steven-xzr.github.io/
Highlights
- Pro
Stars
[CVPR 25 Highlight & ECCV Workshop 24 Best Paper] RoboTwin Dual-arm Robot Manipulation Simulation Platform
[RSS25] Official implementation of DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Implementation of UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
[CVPR 2024 Oral] Official repository for RALF: Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Official repository for "PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout" (CVPR 2023).
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Realize inverse kinematics in mujoco through mocap control
[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Official Implementation of the paper RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation
Automated, hardware-independent Hand-Eye Calibration
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
Massively Parallel Deep Reinforcement Learning. 🔥
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation (ICRA2023)
(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning