3 papers
cs.CV2026
AffectDelta: Beyond Emotion Labels for Image Editing
Xingzu Zhan, Lin Gu, Ruogu Fang
Emotion-driven image editing aims to evoke a specified target emotion by modifying emotion-relevant visual cues in a source image, while preserving the overall composition and sema…
cs.CV2026
T2M Mamba: Motion Periodicity-Saliency Coupling Approach for Stable Text-Driven Motion Generation
Xingzu Zhan, Chen Xie, Honghang Chen +2
Text-to-motion generation, which converts motion language descriptions into coherent 3D human motion sequences, has attracted increasing attention in fields, such as avatar animati…
cs.CV2025
Linear Multi-granular Body Modeling for Text-Driven Motion Generation
Xingzu Zhan, Chen Xie, Genpei Zhang +3
Text-to-motion generation is a rapidly growing field at the nexus of multimodal learning and computer graphics, enabling flexible and cost-effective applications in gaming, animati…