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We propose residual denoising diffusion models (RDDM), a novel dual diffusion process that decouples the traditional single denoising diffusion process into residual diffusion and noise diffusion.
Synthetic faces, face cubes, and the geometry of face space
Hugh R Wilson, Gunter Loffler, and Frances Wilkinson · 2002
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fmri evidence for the neural representation of faces
Gunter Loffler, Grigori Yourganov, Frances Wilkinson, and Hugh R Wilson · 2005
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Pattern recognition and machine learning
Christopher M Bishop and Nasser M Nasrabadi · 2006
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Mathematical Methods for Physics and Engineering: A Comprehensive Guide
K. F. Riley, M. P. Hobson, and S. J. Bence · 2006
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Learning photographic global tonal adjustment with a database of input / output image pairs
Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand · 2011
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Attentive generative adversarial network for raindrop removal from a single image
Rui Qian, Robby T Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu · 2018
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Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
Jifeng Wang, Xiang Li, and Jian Yang · 2018
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Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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An introduction to variational autoencoders
Diederik P. Kingma and Max Welling · 2019
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Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better
Orest Kupyn, Tetiana Martyniuk, Junru Wu, and Zhangyang Wang · 2019
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Shadow removal via shadow image decomposition
Hieu Le and Dimitris Samaras · 2019
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Dual residual networks leveraging the potential of paired operations for image restoration
Xing Liu, Masanori Suganuma, Zhun Sun, and Takayuki Okatani · 2019
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Deep learning for seeing through window with raindrops
Yuhui Quan, Shijie Deng, Yixin Chen, and Hui Ji · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
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Densely residual laplacian super-resolution
Saeed Anwar and Nick Barnes · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Beyond brightening low-light images
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang · 2021
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Adaptive unfolding total variation network for low-light image enhancement
Chuanjun Zheng, Daming Shi, and Wentian Shi · 2021
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Cold diffusion: Inverting arbitrary image transforms without noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein · 2022
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Develop then rival: A human vision-inspired framework for superimposed image decomposition
Huiyu Duan, Wei Shen, Xiongkuo Min, Yuan Tian, Jae-Hyun Jung, Xiaokang Yang, and Guangtao Zhai · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
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Towards ghost-free shadow removal via dual hierarchical aggregation network and shadow matting GAN
Xiaodong Cun, Chi Man Pun, and Cheng Shi · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Direction-aware spatial context features for shadow detection and removal
Xiaowei Hu, Chi Wing Fu, Lei Zhu, Jing Qin, and Pheng Ann Heng · 2020
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Spatially-attentive patch-hierarchical network for adaptive motion deblurring
Maitreya Suin, Kuldeep Purohit, and AN Rajagopalan · 2020
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Learning to restore low-light images via decomposition-and-enhancement
Ke Xu, Xin Yang, Baocai Yin, and Rynson WH Lau · 2020
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Learning enriched features for real image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Maxim: Multi-axis mlp for image processing
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 2022
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Deblurring via stochastic refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G Dimakis, and Peyman Milanfar · 2022
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Image de-raining transformer
Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, and Zheng-Jun Zha · 2022
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Snr-aware low-light image enhancement
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, and Jiaya Jia · 2022
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Learning enriched features for fast image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2022
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Deep color consistent network for low-light image enhancement
Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, and Meng Wang · 2022
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Inversion by direct iteration: An alternative to denoising diffusion for image restoration
Mauricio Delbracio and Peyman Milanfar · 2023
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Shadowdiffusion: When degradation prior meets diffusion model for shadow removal
Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, and Bihan Wen · 2023
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Image restoration with mean-reverting stochastic differential equations
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
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Consistency models
Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Ultra-high-definition low-light image enhancement: A benchmark and transformer-based method
Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Bjorn Stenger, and Tong Lu · 2023
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Resshift: Efficient diffusion model for image super-resolution by residual shifting
Zongsheng Yue, Jianyi Wang, and Chen Change Loy · 2023
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Learning semantic-aware knowledge guidance for low-light image enhancement
Wu Yuhui, Pan Chen, Wang Guoqing, Yang Yang, Wei Jiwei, Li Chongyi, and Heng Tao Shen · 2023
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Restoring vision in adverse weather conditions with patch-based denoising diffusion models
Ozan Özdenizci and Robert Legenstein · 2023
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