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[SIGGRAPH 2025] ReStyle3D: Scene-level Appearance Transfer with Semantic Correspondences
Code for "Steerable Scene Generation with Post Training and Inference-Time Search", CoRL 2025
Run Segment Anything Model 2 on a live video stream
[ICML 2024] 3D-VLA: A 3D Vision-Language-Action Generative World Model
🌵 Viewer & Finder for LSP symbols and tags
Official repo of VLABench, a large scale benchmark designed for fairly evaluating VLA, Embodied Agent, and VLMs.
azooKey-Desktop is an open-source Japanese input method for macOS, written in Swift and powered by the Zenzai neural kana-kanji converter. It provides live conversion, optional LLM-based “Magic Con…
AeroSpace is an i3-like tiling window manager for macOS
A plugin to ease python bazel language server support in neovim
Python package to create manipulation scenes.
A suite of image and video neural tokenizers
IsaacGymGrasp runs a robot grasping physics simulator that can visualize, execute, and evaluate numerous robot grasps in simultaneous environments.
[ECCV 2024] Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]
Distributed Robot Interaction Dataset.
Unseen Object Instance Segmentation with MSMFormer. (ICRA 2024 and RSS 2023)
Code for CoRL2022 paper "Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes"
[ICRA 2024] Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]
A Neovim Plugin for the yazi terminal file manager
Goliath Dataset and Official PyTorch Implementation of RelightableHands, Relightable Gaussian Codec Avatars, and Driving-Signal Aware Full-Body Avatars.
Official implementation of "SUGAR: Pre-training 3D Visual Representations for Robotics" (CVPR'24).
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
GUI for BURG toolkit setup template creation.
Toolkit for benchmarking and understanding robotic grasping
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.