b'Jinjin Gu'

research

∙ 08/07/2023

Dual Aggregation Transformer for Image Super-Resolution

Transformer has recently gained considerable popularity in low-level vis...

0 Zheng Chen, et al. ∙

research

∙ 05/29/2023

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off

Super-resolution (SR) techniques designed for real-world applications co...

0 Ruofan Zhang, et al. ∙

research

∙ 05/24/2023

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining

Deep deraining networks, while successful in laboratory benchmarks, cons...

0 Jinjin Gu, et al. ∙

research

∙ 05/22/2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Diffusion models (DMs) have recently been introduced in image deblurring...

0 Zheng Chen, et al. ∙

research

∙ 03/23/2023

Masked Image Training for Generalizable Deep Image Denoising

When capturing and storing images, devices inevitably introduce noise. R...

6 Haoyu Chen, et al. ∙

research

∙ 03/11/2023

Xformer: Hybrid X-Shaped Transformer for Image Denoising

In this paper, we present a hybrid X-shaped vision Transformer, named Xf...

0 Jiale Zhang, et al. ∙

research

∙ 03/11/2023

Recursive Generalization Transformer for Image Super-Resolution

Transformer architectures have exhibited remarkable performance in image...

0 Zheng Chen, et al. ∙

research

∙ 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...

0 Liangbin Xie, et al. ∙

research

∙ 11/24/2022

Cross Aggregation Transformer for Image Restoration

Recently, Transformer architecture has been introduced into image restor...

0 Chen Zheng, et al. ∙

research

∙ 11/01/2022

Self-Supervised Intensity-Event Stereo Matching

Event cameras are novel bio-inspired vision sensors that output pixel-le...

0 Jinjin Gu, et al. ∙

research

∙ 10/12/2022

Efficient Image Super-Resolution using Vast-Receptive-Field Attention

The attention mechanism plays a pivotal role in designing advanced super...

4 Lin Zhou, et al. ∙

research

∙ 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...

11 Jinjin Gu, et al. ∙

research

∙ 10/04/2022

Accurate Image Restoration with Attention Retractable Transformer

Recently, Transformer-based image restoration networks have achieved pro...

15 Jiale Zhang, et al. ∙

research

∙ 07/18/2022

Rethinking Alignment in Video Super-Resolution Transformers

The alignment of adjacent frames is considered an essential operation in...

9 Shuwei Shi, et al. ∙

research

∙ 06/23/2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment

This paper reports on the NTIRE 2022 challenge on perceptual image quali...

4 Jinjin Gu, et al. ∙

research

∙ 05/14/2022

Evaluating the Generalization Ability of Super-Resolution Networks

Performance and generalization ability are two important aspects to eval...

8 Yihao Liu, et al. ∙

research

∙ 05/12/2022

Blueprint Separable Residual Network for Efficient Image Super-Resolution

Recent advances in single image super-resolution (SISR) have achieved ex...

11 Zheyuan Li, et al. ∙

research

∙ 12/22/2021

Reflash Dropout in Image Super-Resolution

Dropout is designed to relieve the overfitting problem in high-level vis...

8 Xiangtao Kong, et al. ∙

research

∙ 07/07/2021

Blind Image Super-Resolution: A Survey and Beyond

Blind image super-resolution (SR), aiming to super-resolve low-resolutio...

4 Anran Liu, et al. ∙

research

∙ 04/19/2021

Attention in Attention Network for Image Super-Resolution

Convolutional neural networks have allowed remarkable advances in single...

10 Haoyu Chen, et al. ∙

research

∙ 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...

8 Jinjin Gu, et al. ∙

research

∙ 11/22/2020

Interpreting Super-Resolution Networks with Local Attribution Maps

Image super-resolution (SR) techniques have been developing rapidly, ben...

2 Jinjin Gu, et al. ∙

research

∙ 09/14/2020

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

This paper reviews the video extreme super-resolution challenge associat...

9 Dario Fuoli, et al. ∙

research

∙ 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...

0 Jinjin Gu, et al. ∙

research

∙ 12/15/2019

Image Processing Using Multi-Code GAN Prior

Despite the success of Generative Adversarial Networks (GANs) in image s...

51 Jinjin Gu, et al. ∙

research

∙ 07/25/2019

Interpreting the Latent Space of GANs for Semantic Face Editing

Despite the recent advance of Generative Adversarial Networks (GANs) in ...

2 Yujun Shen, et al. ∙

research

∙ 06/11/2019

Suppressing Model Overfitting for Image Super-Resolution Networks

Large deep networks have demonstrated competitive performance in single ...

0 Ruicheng Feng, et al. ∙

research

∙ 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...

1 Guocheng Qian, et al. ∙

research

∙ 04/06/2019

Blind Super-Resolution With Iterative Kernel Correction

Deep learning based methods have dominated super-resolution (SR) field d...

0 Jinjin Gu, et al. ∙

research

∙ 02/28/2019

Two-phase Hair Image Synthesis by Self-Enhancing Generative Model

Generating plausible hair image given limited guidance, such as sparse s...

0 Haonan Qiu, et al. ∙

research

∙ 09/01/2018

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...

0 Xintao Wang, et al. ∙

research

∙ 01/31/2018

Single Image Reflection Removal Using Deep Encoder-Decoder Network

Image of a scene captured through a piece of transparent and reflective ...

0 Zhixiang Chi, et al. ∙

Jinjin Gu

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