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 …
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 …
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 …