4 papers indexed
Chao Wang, Kejiang Chen, Zijin Yang, Yaofei Wang, Yuang Qi, Weiming Zhang, et al.
The rapid evolution of image generation has produced numerous within-family variants, making source-model attribution of suspect images increasingly important for digital forensics. Existing proactive methods rely on watermark embedding or model modification, which may degrade vi…
Zhongyi Zhang, Guangyuan Wang, Li Hu, Wenbo Zhou, Peng Zhang, Tianyi Wei, et al.
Recent advances in generative models and technological innovations have significantly addressed the fundamental challenges of character image animation. However, existing approaches predominantly focus on character animation from a single reference image, substantially limiting t…
Yupeng Zheng, Kai Zou, Bin Liu, Nenghai Yu
Vision-language models (VLMs) process large numbers of visual tokens, resulting in substantial inference latency and memory overhead. This has motivated extensive research on visual token compression. While training-free strategies rely on heuristic metrics and suffer significant…
Jiayao Jiang, Bin Liu, Nenghai Yu
The rapid advancement of deepfakes necessitates robust face forgery detection. Although forged faces may lack obvious artifacts, they often contain subtle disharmony among different facial regions. We propose SGF-CDNet, a Consistency-Discrepancy Graph Network (CD-GNN) over Semant…