2 citations · 3 across the 6 of their papers we have counts for
6 papers
Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
Wenyang Luo, Haina Qin, Zewen Chen +6
Image restoration tasks like deblurring, denoising, and dehazing usually need distinct models for each degradation type, restricting their generalization in real-world scenarios wi…
Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency
Yutong Wang, Jiajie Teng, Jiajiong Cao +4
As a very common type of video, face videos often appear in movies, talk shows, live broadcasts, and other scenes. Real-world online videos are often plagued by degradations such a…
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
Rang Meng, Xingyu Zhang, Yuming Li +1
Recent work on human animation usually involves audio, pose, or movement maps conditions, thereby achieves vivid animation quality. However, these methods often face practical chal…
Token Caching for Diffusion Transformer Acceleration
Jinming Lou, Wenyang Luo, Yufan Liu +5
Diffusion transformers have gained substantial interest in diffusion generative modeling due to their outstanding performance. However, their computational demands, particularly th…
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
Zhiyuan Chen, Jiajiong Cao, Zhiquan Chen +2
The area of portrait image animation, propelled by audio input, has witnessed notable progress in the generation of lifelike and dynamic portraits. Conventional methods are limited…
PiGW: A Plug-in Generative Watermarking Framework
Rui Ma, Mengxi Guo, Li Yuming +5
Integrating watermarks into generative images is a critical strategy for protecting intellectual property and enhancing artificial intelligence security. This paper proposes Plug-i…