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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.

Table of Contents

• 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
  📜paper 💻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
  📜paper 💻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
  📜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
  📜paper 💻code

• Blind Image Restoration Based on Cycle-Consistent Network
  Shixiang Wu, Chao Dong, Yu Qiao
  Accepted at TMM'22
  📜paper

• Interactive Multi-Dimension Modulation for Image Restoration
  Jingwen He, Chao Dong, Liu Yihao, Yu Qiao
  Accepted at TPAMI'21
  📜paper 💻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
  📜paper 💻code

• Toward Interactive Modulation for Photo-Realistic Image Restoration
  Haoming Cai, Jingwen He, Yu Qiao, Chao Dong
  Accepted at CVPRW'21
  📜paper

• Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
  Jingwen He, Chao Dong, Yu Qiao
  Accepted at ECCV'20
  📜paper 💻code

• Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers
  Jingwen He, Chao Dong, Yu Qiao
  Accepted at CVPR'19 (oral)
  📜paper 💻code

• Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
  Ke Yu, Chao Dong, Liang Lin, Chen Change Loy
  Accepted at CVPR'18
  📜paper 💻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
  📜paper 💻code

• Conditional Sequential Modulation for Efficient Global Image Retouching
  Jingwen He, Yihao Liu, Yu Qiao, Chao Dong
  Accepted at ECCV'20
  📜paper 💻code

• HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization
  Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong
  Accepted at CVPRW'21
  📜paper 💻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
  📜paper 💻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.