5 papers
Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On
Lu Yang, Xiaonan Hu, Yanan Li +3
Virtual try-on (VTON) is a bi-conditional image generation problem that requires not only accurate person preservation but also faithful garment deformation and detail synthesis. D…
Self-supervised Automatic Matting
Xiaonan Hu, Zhiyuan Lu, Jingdong Zhao +1
High-quality alpha mattes are notoriously expensive to annotate, creating a fundamental data bottleneck for deep image matting. While prior work attempts to reduce annotation cost…
Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species
Jinyu Xu, Tianqi Hu, Xiaonan Hu +4
Visually cataloging and quantifying the natural world requires pushing the boundaries of both detailed visual classification and counting at scale. Despite significant progress, pa…
TATTOO: Training-free AesTheTic-aware Outfit recOmmendation
Yuntian Wu, Xiaonan Hu, Ziqi Zhou +1
The global fashion e-commerce market relies significantly on intelligent and aesthetic-aware outfit-completion tools to promote sales. While previous studies have approached the pr…
TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting
Xiaonan Hu, Xuebing Li, Jinyu Xu +8
Accurate plant counting provides valuable information for agriculture such as crop yield prediction, plant density assessment, and phenotype quantification. Vision-based approaches…