activity
20202024
most citedActivating More Pixels in Image Super-Resolution Transformer

55 citations · 162 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CV2023★ 1 cited

A Comparative Study of Image Restoration Networks for General Backbone Network Design

Xiangyu Chen, Zheyuan Li, Yuandong Pu +4

Despite the significant progress made by deep models in various image restoration tasks, existing image restoration networks still face challenges in terms of task generality. An i…

cs.CV2023★ 6 cited

Unifying Image Processing as Visual Prompting Question Answering

Yihao Liu, Xiangyu Chen, Xianzheng Ma +4

Image processing is a fundamental task in computer vision, which aims at enhancing image quality and extracting essential features for subsequent vision applications. Traditionally…

cs.CV2023★ 1 cited

CNN Injected Transformer for Image Exposure Correction

Shuning Xu, Xiangyu Chen, Binbin Song +1

Capturing images with incorrect exposure settings fails to deliver a satisfactory visual experience. Only when the exposure is properly set, can the color and details of the images…

cs.CV2023★ 21 cited

HAT: Hybrid Attention Transformer for Image Restoration

Xiangyu Chen, Xintao Wang, Wenlong Zhang +4

Transformer-based methods have shown impressive performance in image restoration tasks, such as image super-resolution and denoising. However, we find that these networks can only…

cs.CV2023

Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation

Xiangyu Chen, Zheyuan Li, Zhengwen Zhang +6

Modern displays can render video content with high dynamic range (HDR) and wide color gamut (WCG). However, most resources are still in standard dynamic range (SDR). Therefore, tra…

cs.CV2023★ 1 cited

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Wenlong Zhang, Xiaohui Li, Xiangyu Chen +3

Real-world Super-Resolution (Real-SR) methods focus on dealing with diverse real-world images and have attracted increasing attention in recent years. The key idea is to use a comp…

cs.CV2023

Under-Display Camera Image Restoration with Scattering Effect

Binbin Song, Xiangyu Chen, Shuning Xu +1

The under-display camera (UDC) provides consumers with a full-screen visual experience without any obstruction due to notches or punched holes. However, the semi-transparent nature…

cs.CV2023

Direction-aware Video Demoireing with Temporal-guided Bilateral Learning

Shuning Xu, Binbin Song, Xiangyu Chen +1

Moire patterns occur when capturing images or videos on screens, severely degrading the quality of the captured images or videos. Despite the recent progresses, existing video demo…

cs.CV2023★ 11 cited

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Liangbin Xie, Xintao Wang, Xiangyu Chen +4

Image super-resolution (SR) with generative adversarial networks (GAN) has achieved great success in restoring realistic details. However, it is notorious that GAN-based SR models…

cs.CR2023

Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution

Yiming Chen, Jinyu Tian, Xiangyu Chen +1

Since training a deep neural network (DNN) is costly, the well-trained deep models can be regarded as valuable intellectual property (IP) assets. The IP protection associated with…