2 citations · 2 across the 13 of their papers we have counts for
5 papers · 1 filter
SR-Edit: Region-Aware Image Editing via Self-Refinement
Andong Wang, Zehua Chen, Yuxuan Jiang +1
With the recent rapid progress in generative models, image editing has made remarkable advances, yet achieving faithful edits that precisely modify only the target regions while st…
Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation
Zehua Chen, Junyou Wang, Yuxuan Jiang +5
Video-to-audio (V2A) generation extends image-to-audio generation (I2A) by introducing consecutive frames that provide essential temporal cues for audio synthesis. However, existin…
GMS-CAVP: Improving Audio-Video Correspondence with Multi-Scale Contrastive and Generative Pretraining
Shentong Mo, Zehua Chen, Jun Zhu
Recent advances in video-audio (V-A) understanding and generation have increasingly relied on joint V-A embeddings, which serve as the foundation for tasks such as cross-modal retr…
DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap
Shentong Mo, Zehua Chen, Fan Bao +1
Recent works in cross-modal understanding and generation, notably through models like CLAP (Contrastive Language-Audio Pretraining) and CAVP (Contrastive Audio-Visual Pretraining),…
FrameBridge: Improving Image-to-Video Generation with Bridge Models
Yuji Wang, Zehua Chen, Xiaoyu Chen +3
Diffusion models have achieved remarkable progress on image-to-video (I2V) generation, while their noise-to-data generation process is inherently mismatched with this task, which m…