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08/07/2023
Dual Aggregation Transformer for Image Super-Resolution
Transformer has recently gained considerable popularity in low-level vis...
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05/29/2023
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off
Super-resolution (SR) techniques designed for real-world applications co...
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05/24/2023
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Deep deraining networks, while successful in laboratory benchmarks, cons...
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05/22/2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Diffusion models (DMs) have recently been introduced in image deblurring...
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03/23/2023
Masked Image Training for Generalizable Deep Image Denoising
When capturing and storing images, devices inevitably introduce noise. R...
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03/11/2023
Xformer: Hybrid X-Shaped Transformer for Image Denoising
In this paper, we present a hybrid X-shaped vision Transformer, named Xf...
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03/11/2023
Recursive Generalization Transformer for Image Super-Resolution
Transformer architectures have exhibited remarkable performance in image...
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12/14/2022
Mitigating Artifacts in Real-World Video Super-Resolution Models
The recurrent structure is a prevalent framework for the task of video s...
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11/24/2022
Cross Aggregation Transformer for Image Restoration
Recently, Transformer architecture has been introduced into image restor...
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11/01/2022
Self-Supervised Intensity-Event Stereo Matching
Event cameras are novel bio-inspired vision sensors that output pixel-le...
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10/12/2022
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
The attention mechanism plays a pivotal role in designing advanced super...
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10/09/2022
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images
Rendering high-resolution (HR) graphics brings substantial computational...
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10/04/2022
Accurate Image Restoration with Attention Retractable Transformer
Recently, Transformer-based image restoration networks have achieved pro...
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07/18/2022
Rethinking Alignment in Video Super-Resolution Transformers
The alignment of adjacent frames is considered an essential operation in...
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06/23/2022
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
This paper reports on the NTIRE 2022 challenge on perceptual image quali...
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05/14/2022
Evaluating the Generalization Ability of Super-Resolution Networks
Performance and generalization ability are two important aspects to eval...
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05/12/2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Recent advances in single image super-resolution (SISR) have achieved ex...
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12/22/2021
Reflash Dropout in Image Super-Resolution
Dropout is designed to relieve the overfitting problem in high-level vis...
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07/07/2021
Blind Image Super-Resolution: A Survey and Beyond
Blind image super-resolution (SR), aiming to super-resolve low-resolutio...
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04/19/2021
Attention in Attention Network for Image Super-Resolution
Convolutional neural networks have allowed remarkable advances in single...
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11/30/2020
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
Image quality assessment (IQA) is the key factor for the fast developmen...
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11/22/2020
Interpreting Super-Resolution Networks with Local Attribution Maps
Image super-resolution (SR) techniques have been developing rapidly, ben...
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09/14/2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associat...
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07/23/2020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Image quality assessment (IQA) is the key factor for the fast developmen...
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12/15/2019
Image Processing Using Multi-Code GAN Prior
Despite the success of Generative Adversarial Networks (GANs) in image s...
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07/25/2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Despite the recent advance of Generative Adversarial Networks (GANs) in ...
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06/11/2019
Suppressing Model Overfitting for Image Super-Resolution Networks
Large deep networks have demonstrated competitive performance in single ...
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05/07/2019
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
Demosaicing, denoising and super-resolution (SR) are of practical import...
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04/06/2019
Blind Super-Resolution With Iterative Kernel Correction
Deep learning based methods have dominated super-resolution (SR) field d...
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02/28/2019
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Generating plausible hair image given limited guidance, such as sparse s...
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09/01/2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...
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01/31/2018
