3 citations · 5 across the 4 of their papers we have counts for
4 papers
Correlation Matching Transformation Transformers for UHD Image Restoration
Cong Wang, Jinshan Pan, Wei Wang +5
This paper proposes UHDformer, a general Transformer for Ultra-High-Definition (UHD) image restoration. UHDformer contains two learning spaces: (a) learning in high-resolution spac…
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
Cong Wang, Jinshan Pan, Wanyu Lin +2
This work presents an effective depth-consistency self-prompt Transformer for image dehazing. It is motivated by an observation that the estimated depths of an image with haze resi…
Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement
Cong Wang, Jinshan Pan, Xiao-Ming Wu
We propose an effective Structural Prior guided Generative Adversarial Transformer (SPGAT) to solve low-light image enhancement. Our SPGAT mainly contains a generator with two disc…
Online-updated High-order Collaborative Networks for Single Image Deraining
Cong Wang, Jinshan Pan, Xiao-Ming Wu
Single image deraining is an important and challenging task for some downstream artificial intelligence applications such as video surveillance and self-driving systems. Most of th…