2 citations · 7 across the 9 of their papers we have counts for
10 papers
UniVOE: A Removal-Driven Framework for Interaction-Aware Universal Video Object Editing
Shuzhou Yang, Lanqing Guo, Lingen Li +4
Video object removal and injection are reciprocal editing operations between object-present and object-absent video states, yet they differ substantially in training difficulty. Re…
DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting
Qian Wang, Yu Wang, Weiqi Li +4
While 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction and novel-view synthesis, scenarios with limited input views often lead to poor reconstruction quality and a…
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…
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…
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…
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
Chong Mou, Xintao Wang, Jiechong Song +2
Large-scale Text-to-Image (T2I) diffusion models have revolutionized image generation over the last few years. Although owning diverse and high-quality generation capabilities, tra…
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
Xuanyu Zhang, Runyi Li, Jiwen Yu +3
In the era where AI-generated content (AIGC) models can produce stunning and lifelike images, the lingering shadow of unauthorized reproductions and malicious tampering poses immin…
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
Jiwen Yu, Xiaodong Cun, Chenyang Qi +4
Large-scale text-to-video (T2V) diffusion models have great progress in recent years in terms of visual quality, motion and temporal consistency. However, the generation process is…
Neural Video Fields Editing
Shuzhou Yang, Chong Mou, Jiwen Yu +3
Diffusion models have revolutionized text-driven video editing. However, applying these methods to real-world editing encounters two significant challenges: (1) the rapid increase…