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GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation
Ning Wang,
Jing Zhang,
Lefei Zhang,
Dacheng Tao
ACM MM, 2022
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Learning to solve a much easier “take-off” task to obtain the mannequin-specific information than the common “try-on” task.
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Dynamic selection network for image inpainting
Ning Wang,
Yipeng Zhang,
Lefei Zhang
TIP, 2021
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Using a dynamic selection mechanism that helps utilize valid pixels better.
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Recurrent Feature Reasoning for Image Inpainting
Jingyuan Li,
Ning Wang,
Lefei Zhang,
Bo Du,
Dacheng Tao
CVPR, 2020
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arXiv
Recurrently infer the hole boundaries of the convolutional feature maps and then use them as clues for further inference.
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Multistage Attention Network for Image Inpainting
Ning Wang,
Sihan Ma,
Jingyuan Li,
Yipeng Zhang,
Lefei Zhang
Pattern Recognition, 2020
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Performing the multi-scale idea for irregular mask regions by adding cascaded pixel-wise attention.
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MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting
Ning Wang,
Jingyuan Li,
Lefei Zhang,
Bo Du
IJCAI, 2019
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Using a multi-scale image contextual attention learning strategy to flexibly handle richer background information
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