[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots
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Updated
Mar 30, 2025 - Python
[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
[NeurIPS 2023] InsActor: Instruction-driven Physics-based Characters
[CVPR 2024] Official Implementation of "Seamless Human Motion Composition with Blended Positional Encodings".
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
Official implementation of TRACE, the TRAjectory Diffusion Model for Controllable PEdestrians, from the CVPR 2023 paper: "Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion".
Official implementation of TeSMo, a method for text-controlled scene-aware motion generation, from the ECCV 2024 paper: "Generating Human Interaction Motions in Scenes with Text Control".
Implementation of Constructing Human Motion Manifold with Sequential Networks in PyTorch
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
Code for the ECCV'22 paper "Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos".
Official code of [AAAI2024] Expressive Forecasting of 3D Whole-body Human Motions
[CVPRW 2024] Official Implementation of "in2IN: Leveraging individual Information to Generate Human INteractions".
Code and dataset of human retargeting approach to transfer motion and appearance between monocular videos. Check the examples from our dataset with several paired actors and motions!
CHAIR: 3D Human-Interaction Dataset. Human Object Interaction (HOI) dataset, focusing on interactions between humans and chairs.
A Supervised VAE Based Gen Model for Human Motion
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
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