motion-synthesis
There are 19 repositories under motion-synthesis topic.
EricGuo5513/momask-codes
Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
derikon/awesome-human-motion
🏃♀️ A curated list about human motion capture, analysis and synthesis.
EricGuo5513/action-to-motion
Official implementations for "Action2Motion: Conditioned Generation of 3D Human Motions (ACM MultiMedia 2020)"
HaiminLuo/Artemis
[SIGGRAPH 2022] ARTEMIS, a novel neural modeling and rendering pipeline for generating ARTiculated neural pets with appEarance and Motion synthesIS.
Khrylx/RFC
[NeurIPS 2020] Official PyTorch Implementation of "Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis". NeurIPS 2020.
Yi-Shi94/AMDM
Interactive Character Control with Auto-Regressive Motion Diffusion Models
zdchan/GraspXL
This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.
DK-Jang/motion_puzzle
Motion Puzzle - Official PyTorch implementation
verlab/Learning2Dance_CAG_2020
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
JiahaoPlus/SAGA
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
qrzou/ParCo
[ECCV 2024] Official PyTorch implement of paper "ParCo: Part-Coordinating Text-to-Motion Synthesis": http://arxiv.org/abs/2403.18512
soomean/Diverse-Motion-Stylization
Official implementation of "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"
DK-Jang/human_motion_manifold
Implementation of Constructing Human Motion Manifold with Sequential Networks in PyTorch
MOVIN3D/ELMO_SIGASIA2024
Official dataset and code for "ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling" and "MOVIN: Real-time Motion Capture using a Single LiDAR"
DK-Jang/MOCHA_SIGASIA2023
Official implementation for "MOCHA: Real-Time Motion Characterization via Context Matching" [SIGGRAPH Asia 2023]
chiragbhuvaneshwara/interactive_neural_boxing
Project contains: 1. A trained neural model based on the mixture of experts concept to synthesise fast boxing actions 2. An interactive controller that visualises the results of user controlled motion synthesised with the neural model in Unity.
INASIC/Motion_Synthesis_Adversarial_Learning
Code that reproduces results for the paper "Adversarial learning for modeling human motion" -
SMMousaviSP/crowdganimator
Crowd Simulation Using GANimator