Physics-Based Character Animation

SDRS: Shape-Differentiable Robot Simulator

SIMS: Simulating Human-Scene Interactions with Real World Script Planning

StiffGIPC: Advancing GPU IPC for Stiff Affine-Deformable Simulation

Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors

CBIL: Collective Behavior Imitation Learning for Fish from Real Videos

Reproducing realistic collective behaviors presents a captivating yet formidable challenge. Traditional rule-based methods rely on hand-crafted principles, limiting motion diversity and realism in generated collective behaviors. Recent imitation …

TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization

The synthesis of realistic and physically plausible human-scene interaction animations presents a critical and complex challenge in computer vision and embodied AI. Recent advances primarily focus on developing specialized character controllers for …

C·ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

We present C·ASE, an efficient and effective framework that learns Conditional Adversarial Skill Embeddings for physics-based characters. C·ASE enables the physically simulated character to learn a diverse repertoire of skills while providing …