most citedVision Transformers for Single Image Dehazing

1.2k citations · 1.2k across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

MUJICA: Reforming SISR Models for PBR Material Super-Resolution via Cross-Map Attention

Xin Du, Maoyuan Xu, Zhi Ying

Physically Based Rendering (PBR) materials are typically characterized by multiple 2D texture maps such as basecolor, normal, metallic, and roughness which encode spatially-varying…

cs.CV2022

ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning

Yang Zhou, Yuda Song, Hui Qian +1

Image restoration tasks have achieved tremendous performance improvements with the rapid advancement of deep neural networks. However, most prevalent deep learning models perform i…

eess.IV2022★ 2 cited

Modular Degradation Simulation and Restoration for Under-Display Camera

Yang Zhou, Yuda Song, Xin Du

Under-display camera (UDC) provides an elegant solution for full-screen smartphones. However, UDC captured images suffer from severe degradation since sensors lie under the display…

cs.CV2022★ 48 cited

Rethinking Performance Gains in Image Dehazing Networks

Yuda Song, Yang Zhou, Hui Qian +1

Image dehazing is an active topic in low-level vision, and many image dehazing networks have been proposed with the rapid development of deep learning. Although these networks' pip…

cs.CV2022★ 1.2k cited

Vision Transformers for Single Image Dehazing

Yuda Song, Zhuqing He, Hui Qian +1

Image dehazing is a representative low-level vision task that estimates latent haze-free images from hazy images. In recent years, convolutional neural network-based methods have d…

cs.CV2022

Multi-Curve Translator for High-Resolution Photorealistic Image Translation

Yuda Song, Hui Qian, Xin Du

The dominant image-to-image translation methods are based on fully convolutional networks, which extract and translate an image's features and then reconstruct the image. However,…