3 papers
cs.CV2026
MOSA: Motion-Guided Semantic Alignment for Dynamic Scene Graph Generation
Xuejiao Wang, Bohao Zhang, Changbo Wang +1
Dynamic Scene Graph Generation (DSGG) aims to structurally model objects and their dynamic interactions in video sequences for high-level semantic understanding. However, existing…
cs.CV2026
ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation
Jingzhong Lin, Xinru Li, Yuanyuan Qi +8
Reactive dance generation (RDG), the task of generating a dance conditioned on a lead dancer's motion, holds significant promise for enhancing human-robot interaction and immersive…
cs.CV2025
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
Changgu Chen, Junwei Shu, Gaoqi He +2
Recent large-scale pre-trained diffusion models have demonstrated a powerful generative ability to produce high-quality videos from detailed text descriptions. However, exerting co…