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Diffusion models have revolutionized image generation and editing, producing state-of-the-art results in conditioned and unconditioned image synthesis.
A multiresolution spline with application to image mosaics
Peter J. Burt and Edward H. Adelson · 1983
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Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Draw: A recurrent neural network for image generation, 2015
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics, 2015
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Generating images from captions with attention, 2016
Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, and Ruslan Salakhutdinov · 2016
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Generative adversarial text to image synthesis, 2016
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks, 2017
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks, 2017
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris Metaxas · 2017
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The unreasonable effectiveness of deep features as a perceptual metric github repository, 2018
Richard Zhang · 2018
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The unreasonable effectiveness of deep features as a perceptual metric, 2018
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Denoising diffusion probabilistic models, 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Diffusion models beat gans on image synthesis, 2021
Prafulla Dhariwal and Alex Nichol · 2021
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Fusedream: Training-free text-to-image generation with improved clip+gan space optimization, 2021
Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, and Qiang Liu · 2021
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Improved denoising diffusion probabilistic models, 2021
Alex Nichol and Prafulla Dhariwal · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Vision transformers for dense prediction
René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
Cited alongside, same era.
High-resolution image editing via multi-stage blended diffusion, 2022
Johannes Ackermann and Minjun Li · 2022
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Stable Diffusion Web UI
AUTOMATIC1111 · 2022
Cited alongside, same era.
Blended diffusion for text-driven editing of natural images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
Cited alongside, same era.
Text2live: Text-driven layered image and video editing, 2022
Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, and Tali Dekel · 2022
Cited alongside, same era.
Diffedit: Diffusion-based semantic image editing with mask guidance, 2022
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, and Matthieu Cord · 2022
Cited alongside, same era.
Smartbrush: Text and shape guided object inpainting with diffusion model, 2022
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, and Kun Zhang · 2022
Later among the works it cites.
Paint by word, 2023
Alex Andonian, Sabrina Osmany, Audrey Cui, YeonHwan Park, Ali Jahanian, Antonio Torralba, and David Bau · 2023
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DeepFloyd IF: a novel state-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding
DeepFloyd Lab at StabilityAI · 2023
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Multidiffusion: Fusing diffusion paths for controlled image generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, and Tali Dekel · 2023
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Instructpix2pix: Learning to follow image editing instructions, 2023
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2023
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
Cited alongside, same era.
Elucidating the design space of diffusion-based generative models, 2022
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Cited alongside, same era.
Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
Cited alongside, same era.
Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps, 2022
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 2022
Cited alongside, same era.
Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Cited alongside, same era.
Sdedit: Guided image synthesis and editing with stochastic differential equations, 2022
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2022
Cited alongside, same era.
Duygu Ceylan, Chun-Hao Paul Huang, and Niloy J. Mitra · 2023
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Promptpaint: Steering text-to-image generation through paint medium-like interactions
John Joon Young Chung and Eytan Adar · 2023
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Imagic: Text-based real image editing with diffusion models, 2023
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2023
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Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Mage space: An ai image generation platform, 2023
mage · 2023
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SDXL: improving latent diffusion models for high-resolution image synthesis, 2023
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Kandinsky: an improved text-to-image synthesis with image prior and latent diffusion, 2023
Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, and Denis Dimitrov · 2023
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Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis, 2023
Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, and Timo Aila · 2023
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Stability.ai blog: Stable diffusion v2 release
Stability AI Ltd · 2023
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Instructedit: Improving automatic masks for diffusion-based image editing with user instructions, 2023
Qian Wang, Biao Zhang, Michael Birsak, and Peter Wonka · 2023
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Inpaint anything: Segment anything meets image inpainting, 2023
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, and Zhibo Chen · 2023
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Text-to-image diffusion models in generative ai: A survey, 2023
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, and In So Kweon · 2023
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Fast sampling of diffusion models with exponential integrator, 2023
Qinsheng Zhang and Yongxin Chen · 2023
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