A low-level vision paperReading List for 2019 & 2020

The following papers are related to low-level vision, including denoise, inpainting, lowlight enhancement, dehaze, derain, deblur, demoireing, reflection removal, super resolution and image restoration.

Pull Requests are welcomed. Feel free to add related papers you like to this list.

A lot of interesting papers are not yet covered by me in the arxiv sections.

TODO

<details> <summary>Supported Conference List</summary> - [x] [IJCAI 2019](https://www.ijcai19.org/accepted-papers.html) - [x] [ICLR 2019](https://openreview.net/group?id=ICLR.cc/2019/Conference) - [x] [ICML 2019](https://icml.cc/Conferences/2019/Schedule?type=Poster) - [x] [CVPR 2019](http://openaccess.thecvf.com/CVPR2019_search.py) - [x] [AAAI 2019](https://aaai.org/Conferences/AAAI-19/wp-content/uploads/2018/11/AAAI-19_Accepted_Papers.pdf) - [x] [BMVC 2019](https://bmvc2019.org/programme/detailed-programme/#/) - [x] [ACM MM 2019](https://2019.acmmm.org/accepted-papers/index.html) - [x] [ICIP 2019](https://cmsworkshops.com/ICIP2019/Papers/TechnicalProgram_MS.asp) - [x] [ICME 2019](https://www.icme2019.org/conf_schedule) - [x] [ICCV 2019](http://openaccess.thecvf.com/ICCV2019.py) - [ ] NeurIPS 2019 - [x] [AAAI 2020](https://aaai.org/Conferences/AAAI-20/wp-content/uploads/2020/01/AAAI-20-Accepted-Paper-List.pdf) - [x] [CVPR 2020](http://openaccess.thecvf.com/CVPR2020.py) - [x] [ECCV 2020](https://www.ecva.net/papers.php) - [x] [ACM MM 2020](https://2020.acmmm.org/main-track-list.html) </details>

[Note]:

• some IJCAI accepted papers are not available at the moment
• arxiv sections are updated on 2019.7.2
• only titles are maintained for new papers

Workshops

• NTIRE 2018
• NTIRE 2019
• AIM 2019
• UG2+ 2019
• Vision for All Seasons Bad Weather and Nighttime 2019

Denoising

(keywords: denoise, noise, denoising)

CVPR19

• Toward Convolutional Blind Denoising of Real Photographs
  • Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang
• Noise2Void - Learning Denoising From Single Noisy Images
  • Alexander Krull, Tim-Oliver Buchholz, Florian Jug
• FOCNet: A Fractional Optimal Control Network for Image Denoising
  • Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang
• Unprocessing Images for Learned Raw Denoising
  • Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
• Model-Blind Video Denoising via Frame-To-Frame Training
  • Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias

ICML19

• Noise2Self: Blind Denoising by Self-Supervision
  • Joshua Batson, Loic Royer

ICCV19

• Fully Convolutional Pixel Adaptive Image Denoiser
  • Sungmin Cha, Taesup Moon
• CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising
  • Puneet Gupta, Esa Rahtu
• Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images
  • Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo
• Self-Supervised Deep Depth Denoising
  • Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis, Spyridon Thermos, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras
• Self-Guided Network for Fast Image Denoising
  • Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte
• Real Image Denoising With Feature Attention
  • Saeed Anwar, Nick Barnes
• NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
  • Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia
• Noise Flow: Noise Modeling With Conditional Normalizing Flows
  • Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
• Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise
  • Wei Wang, Xin Chen, Cheng Yang, Xiang Li, Xuemei Hu, Tao Yue

ICIP19

• Enhancing denoised image via fusion with a noisy image
• FULL-REFERENCE METRIC ADAPTIVE IMAGE DENOISING
• IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
• ADAPTIVELY TUNING A CONVOLUTIONAL NEURAL NETWORK BY GATING PROCESS FOR IMAGE DENOISING
• DVDnet: A Fast Network for Deep Video Denoising
• MUTUAL NOISE ESTIMATION ALGORITHM FOR VIDEO DENOISING
• COLOR IMAGE DENOISING USING QUATERNION ADAPTIVE NON-LOCAL COUPLED MEANS
• MULTI-KERNEL PREDICTION NETWORKS FOR DENOISING OF BURST IMAGES
• Simultaneous Nonlocal Self-Similarity Prior for Image Denoising
• EDCNN: A NOVEL NETWORK FOR IMAGE DENOISING
• A NON-LOCAL CNN FOR VIDEO DENOISING
• ACCELERATING REDUNDANT DCT FILTERING FOR DEBLURRING AND DENOISING
• NONLOCALITY-REINFORCED CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE DENOISING

ICME19

• RESIDUAL DILATED NETWORK WITH ATTENTION FOR IMAGE BLIND DENOISING

AAAI20

• When AWGN-based Denoiser Meets Real Noises

CVPR20

• Noisier2Noise: Learning to Denoise From Unpaired Noisy Data
• Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging
• A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising
• Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization
• Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring

ECCV20

• Reconstructing the Noise Variance Manifold for Image Denoising
• Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
• Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
• Learning Camera-Aware Noise Models
• Burst Denoising via Temporally Shifted Wavelet Transforms
• Unpaired Learning of Deep Image Denoising
• Practical Deep Raw Image Denoising on Mobile Devices
• Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
• Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising
• A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images
• Robust and On-the-fly Dataset Denoising for Image Classification
• Spatial-Adaptive Network for Single Image Denoising

ACM MM20

• Temporal Denoising Mask Synthesis Network for Learning Blind Video Temporal Consistency
• Differentiable Manifold Reconstruction for Point Cloud Denoising

arxiv

• NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
  • Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
• Unsupervised Image Noise Modeling with Self-Consistent GAN
  • Hanshu Yan, Vincent Tan, Wenhan Yang, Jiashi Feng
• Robust and interpretable blind image denoising via bias-free convolutional neural networks
  • Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
• Learning Deep Image Priors for Blind Image Denoising
  • Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu
• Image Denoising with Graph-Convolutional Neural Networks
  • Diego Valsesia, Giulia Fracastoro, Enrico Magli
• GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images
  • Sungmin Cha, Taeeon Park, Taesup Moon
• Segmentation-Aware Image Denoising without Knowing True Segmentation
  • Sicheng Wang, Bihan Wen, Junru Wu, Dacheng Tao, Zhangyang Wang
• Joint demosaicing and denoising by overfitting of bursts of raw images
  • Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo
• Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
  • Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang
• Efficient Blind Deblurring under High Noise Levels
  • Jérémy Anger, Mauricio Delbracio, Gabriele Facciolo
• Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
  • Ronnachai Jaroensri Camille Biscarrat Miika Aittala Fredo Durand
• Real Image Denoising with Feature Attention
  • Saeed Anwar, Nick Barnes
• Learning Deformable Kernels for Image and Video Denoising
  • Xiangyu Xu, Muchen Li, Wenxiu Sun

Inpainting

(keywords: inpainting, completion)

CVPR19

• Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
  • Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo
• Deep Flow-Guided Video Inpainting
  • Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
• Deep Video Inpainting
  • Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
• Foreground-Aware Image Inpainting
  • Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo
• PEPSI : Fast Image Inpainting With Parallel Decoding Network
  • Min-cheol Sagong, Yong-goo Shin, Seung-wook Kim, Seung Park, Sung-jea Ko
• Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation
  • Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky

IJCAI19

• Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation
  • Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu
• Generative Image Inpainting with Submanifold Alignment
  • Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Ramamohanarao Kotagiri
• MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting
  • Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du

AAAI19

• CISI-net: Explicit latent content inference and imitated style rendering for image inpainting
  • Jing Xiao, liang liao, Qiegen Liu, Ruimin Hu
• Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
• Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang