5 papers
DeshadowMamba: Deshadowing as 1D Sequential Similarity
Zhaotong Yang, Yi Chen, Yanying Li +5
Recent deep models for image shadow removal often rely on attention-based architectures to capture long-range dependencies. However, their fixed attention patterns tend to mix illu…
AvatarVTON: 4D Virtual Try-On for Animatable Avatars
Zicheng Jiang, Jixin Gao, Shengfeng He +5
We propose AvatarVTON, the first 4D virtual try-on framework that generates realistic try-on results from a single in-shop garment image, enabling free pose control, novel-view ren…
HarmonPaint: Harmonized Training-Free Diffusion Inpainting
Ying Li, Xinzhe Li, Yong Du +3
Existing inpainting methods often require extensive retraining or fine-tuning to integrate new content seamlessly, yet they struggle to maintain coherence in both structure and sty…
OmniVTON: Training-Free Universal Virtual Try-On
Zhaotong Yang, Yuhui Li, Shengfeng He +4
Image-based Virtual Try-On (VTON) techniques rely on either supervised in-shop approaches, which ensure high fidelity but struggle with cross-domain generalization, or unsupervised…
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
Xinzhe Li, Jiahui Zhan, Shengfeng He +4
Personalized image generation has made significant strides in adapting content to novel concepts. However, a persistent challenge remains: balancing the accurate reconstruction of…