Synthesized Motion

Synthesized motion research focuses on generating realistic and temporally consistent movement sequences, primarily from textual descriptions or other input modalities like videos. Current efforts leverage diffusion models and attention mechanisms, often incorporating large language models to interpret complex instructions and guide the generation process at both the whole-body and part-level, ensuring semantic accuracy and coherence. This field is crucial for advancing applications in animation, virtual reality, and healthcare, particularly by augmenting limited real-world datasets with high-quality synthetic motion data for training and analysis.