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Introduction

X-Image-Processing is dedicated to presenting the research efforts of XPixel in the realm of image restoration and enhancement.

Restoration techniques are designed to rectify degraded or damaged images, revitalizing their visual quality.
Enhancement strategies focus on refining image attributes such as sharpness, contrast, and color balance.

Since our group highly focuses on super-resolution (SR), we place all the works related to SR in X-Super Resolution.

Image Restoration
Image Enhancement

Papers

Image Restoration

DegAE: A New Pretraining Paradigm for Low-level Vision Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong Accepted at CVPR'23 (highlight)
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich1 , Bernard Ghanem1 , Jimmy S. Ren Accepted at ICCP'22 :scroll:paper :computer:code
UDC-UNet: Under-Display Camera Image Restoration via U-shape Dynamic Network Xina Liu, Jinfan Hu, Xiangyu Chen, Chao Dong Accepted at ECCVW'22 :scroll:paper :computer:code
Fine-grained Face Editing via Personalized Spatial-aware Affine Modulation Si Liu, Renda Bao, Defa Zhu, Shaofei Huang, Qiong Yan, Liang Lin, Chao Dong Accepted at TMM'22 :scroll:paper
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder GYuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng Accepted at ECCV'22 :scroll:paper :computer:code
Blind Image Restoration Based on Cycle-Consistent Network Shixiang Wu, Chao Dong, Yu Qiao Accepted at TMM'22 :scroll:paper
Interactive Multi-Dimension Modulation for Image Restoration Jingwen He, Chao Dong, Liu Yihao, Yu Qiao Accepted at TPAMI'21 :scroll:paper :computer:code
Path-Restore: Learning Network Path Selection for Image Restoration Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy Accepted at TPAMI'21 :scroll:paper :computer:code
Toward Interactive Modulation for Photo-Realistic Image Restoration Haoming Cai, Jingwen He, Yu Qiao, Chao Dong Accepted at CVPRW'21 :scroll:paper
Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration Jingwen He, Chao Dong, Yu Qiao Accepted at ECCV'20 :scroll:paper :computer:code
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers Jingwen He, Chao Dong, Yu Qiao Accepted at CVPR'19 (oral) :scroll:paper :computer:code
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning Ke Yu, Chao Dong, Liang Lin, Chen Change Loy Accepted at CVPR'18 :scroll:paper :computer:code

Image Enhancement

Very Lightweight Photo Retouching Network with Conditional Sequential Modulation Yihao Liu, Jingwen He, Xiangyu Chen, Zhengwen Zhang, Hengyuan Zhao, Chao Dong, Yu Qiao Accepted at TMM'22 :scroll:paper :computer:code
Conditional Sequential Modulation for Efficient Global Image Retouching Jingwen He, Yihao Liu, Yu Qiao, Chao Dong Accepted at ECCV'20 :scroll:paper :computer:code
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong Accepted at CVPRW'21 :scroll:paper :computer:code
A New Journey from SDRTV to HDRTV Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong Accepted at ICCV'21 :scroll:paper :computer:code

License

This project is released under the Apache 2.0 license.

Projects in Open-XSource

X-Super Resolution: Algorithms in the realm of image super-resolution.
X-Image Processing: Algorithms in the realm of image restoration and enhancement.
X-Video Processing: Algorithms for processing videos.
X-Low level Interpretation: Algorithms for interpreting the principle of neural networks in low-level vision field.
X-Evaluation and Benchmark: Datasets for training or evaluating state-of-the-art algorithms.