14 citations · 16 across the 5 of their papers we have counts for
6 papers
BeCARE: Budgeted Cache Refresh for Diffusion Transformer Acceleration
Yuhang Zhang, Junxiang Qiu, Huixia Ben +4
Training-free feature caching accelerates diffusion transformer (DiT) inference by reusing or forecasting intermediate features. However, fixed schedules make compute predictable b…
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…
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…
Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation
Jinda Lu, Shuo Wang, Yanbin Hao +3
Recent adaptations can boost the low-shot capability of Contrastive Vision-Language Pre-training (CLIP) by effectively facilitating knowledge transfer. However, these adaptation me…
Hierarchical Space-Time Attention for Micro-Expression Recognition
Haihong Hao, Shuo Wang, Huixia Ben +3
Micro-expression recognition (MER) aims to recognize the short and subtle facial movements from the Micro-expression (ME) video clips, which reveal real emotions. Recent MER method…
Image Captioning via Compact Bidirectional Architecture
Zijie Song, Yuanen Zhou, Zhenzhen Hu +4
Most current image captioning models typically generate captions from left-to-right. This unidirectional property makes them can only leverage past context but not future context.…