4 papers · 1 filter
MOFA-VTON: More Fashion Possibilities with Fine-Grained Adaptations in Virtual Try-On
Xiaoyu Han, Chenyang Wang, Jing Wang +3
Virtual try-on aims to fit an in-shop clothing image onto a specific human body. An optimal virtual try-on method should provide diverse and flexible dressing options, accurately r…
Shape-Guided Clothing Warping for Virtual Try-On
Xiaoyu Han, Shunyuan Zheng, Zonglin Li +3
Image-based virtual try-on aims to seamlessly fit in-shop clothing to a person image while maintaining pose consistency. Existing methods commonly employ the thin plate spline (TPS…
Revisiting Context Aggregation for Image Matting
Qinglin Liu, Xiaoqian Lv, Quanling Meng +5
Traditional studies emphasize the significance of context information in improving matting performance. Consequently, deep learning-based matting methods delve into designing pooli…
End-to-End Human Instance Matting
Qinglin Liu, Shengping Zhang, Quanling Meng +3
Human instance matting aims to estimate an alpha matte for each human instance in an image, which is extremely challenging and has rarely been studied so far. Despite some efforts…