85 citations · 170 across the 6 of their papers we have counts for
7 papers
FW-VTON: Flattening-and-Warping for Person-to-Person Virtual Try-on
Zheng Wang, Xianbing Sun, Shengyi Wu +5
Traditional virtual try-on methods primarily focus on the garment-to-person try-on task, which requires flat garment representations. In contrast, this paper introduces a novel app…
Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-On
Lingxiao Lu, Shengyi Wu, Haoxuan Sun +5
Virtual clothes try-on has emerged as a vital feature in online shopping, offering consumers a critical tool to visualize how clothing fits. In our research, we introduce an innova…
Virtual Accessory Try-On via Keypoint Hallucination
Junhong Gou, Bo Zhang, Li Niu +4
The virtual try-on task refers to fitting the clothes from one image onto another portrait image. In this paper, we focus on virtual accessory try-on, which fits accessory (e.g., g…
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Junhong Gou, Siyu Sun, Jianfu Zhang +3
Virtual try-on is a critical image synthesis task that aims to transfer clothes from one image to another while preserving the details of both humans and clothes. While many existi…
Weak-shot Semantic Segmentation via Dual Similarity Transfer
Junjie Chen, Li Niu, Siyuan Zhou +3
Semantic segmentation is an important and prevalent task, but severely suffers from the high cost of pixel-level annotations when extending to more classes in wider applications. T…
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary
Siyuan Zhou, Li Niu, Jianlou Si +2
Weakly-supervised semantic segmentation (WSSS) with image-level labels has been widely studied to relieve the annotation burden of the traditional segmentation task. In this paper,…
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Jianlou Si, Honggang Zhang, Chun-Guang Li +4
Typical person re-identification (ReID) methods usually describe each pedestrian with a single feature vector and match them in a task-specific metric space. However, the methods b…