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08/18/2023
Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in...
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04/13/2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Modern image inpainting systems, despite the significant progress, often...
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08/21/2022
HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
Compressed Image Super-resolution has achieved great attention in recent...
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03/23/2022
Deep Frequency Filtering for Domain Generalization
Improving the generalization capability of Deep Neural Networks (DNNs) i...
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11/25/2021
Few-Shot Real Image Restoration via Distortion-Relation Guided Transfer Learning
Collecting large clean-distorted training image pairs in real world is n...
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06/21/2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptive classification intends to improve theclassi...
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03/29/2021
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Cloth-Changing person re-identification (CC-ReID) aims at matching the s...
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03/20/2021
Patch AutoAugment
Data augmentation (DA) plays a critical role in training deep neural net...
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01/21/2021
Image-to-Image Translation: Methods and Applications
Image-to-image translation (I2I) aims to transfer images from a source d...
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12/17/2020
Learned Block-based Hybrid Image Compression
Learned image compression based on neural networks have made huge progre...
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03/04/2020
VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge
This paper introduces VESR-Net, a method for video enhancement and super...
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11/19/2018
