CORTEXA
← Browse

Xiaogang Jin

3 papers indexed

arxivcs.CV2026-07-16

TAMF-VTON: Texture-Aware Mask-Free Virtual Try-On via High-Fidelity Image Synthesis

Jie Wang, Qian He, Gaofeng He, Xiaogang Jin, Huamin Wang

Recent diffusion-based virtual try-on (VTON) methods remain limited by their reliance on segmentation masks, insufficient preservation of fine-grained textures, and limited support for arbitrary multi-garment compositions. Consequently, existing approaches still face significant…

View free PDFSource page
arxivcs.CV2026-07-14

SeamGen: Artist-Aligned UV Seam Generation via Graph Flow Matching

Hao Xu, Yuqing Zhang, Yiqian Wu, Xueqi Ma, Ding Liang, Yan-Pei Cao, et al.

UV seam placement is a critical yet labor-intensive step in 3D content creation, requiring artists to balance chart shape, seam concealment, and alignment with semantic and geometric features. Existing automatic methods are primarily based on per-object optimization, relying on h…

View free PDFSource page
arxivcs.CVcs.MM2026-07-07

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing

Wanglong Lu, Lingming Su, Kaijie Shi, Minglun Gong, Xiaogang Jin, Hanli Zhao, et al.

Recent diffusion-based generative models have shown impressive performance in image generation and editing. However, due to memory limitations and the high cost of collecting high-resolution training images, existing methods are typically restricted to inputs with linear resoluti…

View free PDFSource page