1 citations · 1 across the 5 of their papers we have counts for
5 papers
MagicView: Multi-View Consistent Identity Customization via Priors-Guided In-Context Learning
Hengjia Li, Jianjin Xu, Keli Cheng +5
Recent advances in personalized generative models have demonstrated impressive capabilities in producing identity-consistent images of the same individual across diverse scenes. Ho…
A Training-Free Approach for Multi-ID Customization via Attention Adjustment and Spatial Control
Jiawei Lin, Guanlong Jiao, Jianjin Xu
Multi-ID customization is an interesting topic in computer vision and attracts considerable attention recently. Given the ID images of multiple individuals, its purpose is to gener…
CusEnhancer: A Zero-Shot Scene and Controllability Enhancement Method for Photo Customization via ResInversion
Maoye Ren, Praneetha Vaddamanu, Jianjin Xu +1
Recently remarkable progress has been made in synthesizing realistic human photos using text-to-image diffusion models. However, current approaches face degraded scenes, insufficie…
Generalizable Human Gaussians for Sparse View Synthesis
Youngjoong Kwon, Baole Fang, Yixing Lu +9
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR,…
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention
Jianjin Xu, Saman Motamed, Praneetha Vaddamanu +4
Face inpainting is important in various applications, such as photo restoration, image editing, and virtual reality. Despite the significant advances in face generative models, ens…