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20232025
most citedHAT: Hybrid Attention Transformer for Image Restoration

21 citations · 30 across the 10 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models

Yuzhou Huang, Liangbin Xie, Xintao Wang +8

Current instruction-based editing methods, such as InstructPix2Pix, often fail to produce satisfactory results in complex scenarios due to their dependence on the simple CLIP text…

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★ 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…