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We present SinDiffusion, leveraging denoising diffusion models to capture internal distribution of patches from a single natural image.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, and · 2018
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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2018
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A critical analysis of self-supervision, or what we can learn from a single image
Yuki M Asano, Christian Rupprecht, and Andrea Vedaldi · 2019
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SinGAN: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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InGAN: Capturing and retargeting the” dna” of a natural image
Assaf Shocher, Shai Bagon, Phillip Isola, and Michal Irani · 2019
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Boundless: Generative adversarial networks for image extension
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, and William T Freeman · 2019
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Free-form image inpainting with gated convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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ManiGAN: Text-guided image manipulation
Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, and Philip HS Torr · 2020
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TuiGAN: Learning versatile image-to-image translation with two unpaired images
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, and Jiebo Luo · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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ESinGAN: Enhanced single-image gan using pixel attention mechanism for image super-resolution
Wenyue Sun and Bao-Di Liu · 2020
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Structured denoising diffusion models in discrete state-spaces
Jacob Austin, Daniel Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg · 2021
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Blended diffusion for text-driven editing of natural images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2021
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MoGAN: Morphologic-structure-aware generative learning from a single image
Jinshu Chen, Qihui Xu, Qi Kang, and MengChu Zhou · 2021
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ILVR: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alex Nichol · 2021
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Improved techniques for training single-image gans
Tobias Hinz, Matthew Fisher, Oliver Wang, and Stefan Wermter · 2021
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SinIR: Efficient general image manipulation with single image reconstruction
Jihyeong Yoo and Qifeng Chen · 2021
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ExSinGAN: Learning an explainable generative model from a single image
ZiCheng Zhang, CongYing Han, and TianDe Guo · 2021
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Patchwise generative convnet: Training energy-based models from a single natural image for internal learning
Zilong Zheng, Jianwen Xie, and Ping Li · 2021
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Drop the GAN: In defense of patches nearest neighbors as single image generative models
Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, and Michal Irani · 2022
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Vector quantized diffusion model for text-to-image synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, and Baining Guo · 2022
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Cascaded diffusion models for high fidelity image generation
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Jonathan Ho and Tim Salimans · 2021
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DiffusionCLIP: Text-guided image manipulation using diffusion models
Gwanghyun Kim and Jong Chul Ye · 2021
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Diederik P Kingma, Tim Salimans, Ben Poole, and Jonathan Ho · 2021
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On fast sampling of diffusion probabilistic models
Zhifeng Kong and Wei Ping · 2021
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InfinityGAN: Towards infinite-pixel image synthesis
Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, and Ming-Hsuan Yang · 2021
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SDEdit: Image synthesis and editing with stochastic differential equations
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Jonathan Ho, Chitwan Saharia, William Chan, David J Fleet, Mohammad Norouzi, and Tim Salimans · 2022
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Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
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StyleMC: Multi-channel based fast text-guided image generation and manipulation
Umut Kocasari, Alara Dirik, Mert Tiftikci, and Pinar Yanardag · 2022
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SRDiff: Single image super-resolution with diffusion probabilistic models
Haoying Li, Yifan Yang, Meng Chang, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, and Yueting Chen · 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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GLIDE: Towards photorealistic image generation and editing with text-guided diffusion models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob Mcgrew, Ilya Sutskever, and Mark Chen · 2022
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Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 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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Dual diffusion implicit bridges for image-to-image translation
Xuan Su, Jiaming Song, Chenlin Meng, and Stefano Ermon · 2022
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PetsGAN: Rethinking priors for single image generation
Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, and Bowen Zhou · 2022
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EGSDE: Unpaired image-to-image translation via energy-guided stochastic differential equations
Min Zhao, Fan Bao, Chongxuan Li, and Jun Zhu · 2022
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