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cs.CV2025
Accelerating Controllable Generation via Hybrid-grained Cache
Lin Liu, Huixia Ben, Shuo Wang +4
Controllable generative models have been widely used to improve the realism of synthetic visual content. However, such models must handle control conditions and content generation…
cs.CV2025
StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation
Jiashu He, Jiayi He, Shengeng Tang +3
Sign language transition generation seeks to convert discrete sign language segments into continuous sign videos by synthesizing smooth transitions. However,most existing methods m…