31 citations · 45 across the 6 of their papers we have counts for
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Progressive Limb-Aware Virtual Try-On
Xiaoyu Han, Shengping Zhang, Qinglin Liu +2
Existing image-based virtual try-on methods directly transfer specific clothing to a human image without utilizing clothing attributes to refine the transferred clothing geometry a…
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
Qinglin Liu, Zonglin Li, Xiaoqian Lv +3
In this paper, we explore a novel image matting task aimed at achieving efficient inference under various computational cost constraints, specifically FLOP limitations, using a sin…
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…
Dual-Context Aggregation for Universal Image Matting
Qinglin Liu, Xiaoqian Lv, Wei Yu +2
Natural image matting aims to estimate the alpha matte of the foreground from a given image. Various approaches have been explored to address this problem, such as interactive matt…
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…
Long-Range Feature Propagating for Natural Image Matting
Qinglin Liu, Haozhe Xie, Shengping Zhang +2
Natural image matting estimates the alpha values of unknown regions in the trimap. Recently, deep learning based methods propagate the alpha values from the known regions to unknow…