4 papers
Invertible Diffusion Models for Compressed Sensing
Bin Chen, Zhenyu Zhang, Weiqi Li +5
While deep neural networks (NN) significantly advance image compressed sensing (CS) by improving reconstruction quality, the necessity of training current CS NNs from scratch const…
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection
Xuanyu Zhang, Youmin Xu, Runyi Li +4
AI-generated video has revolutionized short video production, filmmaking, and personalized media, making video local editing an essential tool. However, this progress also blurs th…
ReVideo: Remake a Video with Motion and Content Control
Chong Mou, Mingdeng Cao, Xintao Wang +3
Despite significant advancements in video generation and editing using diffusion models, achieving accurate and localized video editing remains a substantial challenge. Additionall…
Diffusion-Based Hierarchical Image Steganography
Youmin Xu, Xuanyu Zhang, Jiwen Yu +3
This paper introduces Hierarchical Image Steganography, a novel method that enhances the security and capacity of embedding multiple images into a single container using diffusion…