Motion Synthesis
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Benchmarks
HumanML3D
KIT Motion-Language
AIST++
InterHuman
FineDance
Inter-X
AIOZ-GDANCE
LaFAN1
Motion-X
BRACE
HumanAct12
TMD
Most implemented
On human motion prediction using recurrent neural networks
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels
HP-GAN: Probabilistic 3D human motion prediction via GAN
Papers
Spatiotemporally Decoupled Autoregressive Diffusion Model for Human Motion Generation
Text-driven human motion synthesis has made substantial development with two core modules of motion representation and generative architecture. For representation, Vector Quantization (VQ)-based methods compress motion d…
Motion SynthesisNatural Sit-to-Stand Motion Synthesis For Humanoids via Guided Assistance Curricula and Staged Rewards
A humanoid has infinitely many ways to stand up from sitting while maintaining balance, making sit-to-stand (STS) a challenging control problem. We synthesise natural humanoid STS motion from scratch using reinforcement …
Reinforcement LearningMotion SynthesisLearning to Beat: Phenotype-Guided Latent Flow with Regional Motion Priors for Biventricular Motion Synthesis
Full-cycle biventricular geometry is essential for characterizing cardiac function. However, dense and temporally consistent 3D+t biventricular meshes are not routinely available, whereas end-diastolic (ED) anatomy can o…
Motion SynthesisSparseCtrl-HOI: Sparse Temporal Control for Human-Object Interaction Video Generation
Human-Object Interaction (HOI) video generation aims to synthesize realistic videos of humans manipulating diverse objects, serving as a promising avenue for AI-driven live streaming e-commerce. A primary obstacle in thi…
Motion SynthesisVideo Generationhand-object poseDeSeG: Decoupling Semantic Intent and Geometric Constraints for Physically Plausible Human-Scene Interaction
Synthesizing physically plausible human-scene interactions (HSI) remains a critical challenge in computer vision and the development of human avatars. Although recent generative models enable diverse motion synthesis, th…
Motion SynthesisPRISM: Personalized Robotic Dataset Generation via Image-based Scene and Motion Synthesis
Recent advances in large-scale pretrained vision-language-action models have improved robot policy learning, but directly deploying such policies in user-specific environments remains challenging due to limited generaliz…
Motion Synthesis