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Text-to-image diffusion models have proven effective for solving many image editing tasks.
Plug-and-play diffusion features for text-driven image-to-image translation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1921–1930
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel. 2023 · 1930
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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 · 2014
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Microsoft COCO: Common Objects in Context. In European Conference on Computer Vision
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. 2014 · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics. In International Conference on Machine Learning . PMLR, 2256–2265
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015 · 2015
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LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao. 2015 · 2015
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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 · 2017
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Mikolaj Binkowski, Danica J. Sutherland, Michal Arbel, and Arthur Gretton. 2018 · 2018
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A style-based generator architecture for generative adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition . 4401–4410
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon. 2019 · 2019
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Denoising Diffusion Probabilistic Models. In Proc. NeurIPS
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
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Analyzing and improving the image quality of stylegan. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8110–8119
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020 · 2020
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Denoising Diffusion Implicit Models. In International Conference on Learning Representations
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020 · 2020
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Transformers: State-of-the-Art Natural Language Processing. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . Association for Computational Linguistics, Online, 38–45
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal and Alex Nichol. 2021 · 2021
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LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2021
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Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2021 · 2021
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SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. In International Conference on Learning Representations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2021 · 2021
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Learning Transferable Visual Models From Natural Language Supervision. In International Conference on Machine Learning
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 · 2021
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High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, A. Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021 · 2021
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Improving GAN Equilibrium by Raising Spatial Awareness
Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, and Bolei Zhou. 2021 · 2021
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Blended Diffusion for Text-Driven Editing of Natural Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 18208–18218
Omri Avrahami, Dani Lischinski, and Ohad Fried. 2022 · 2022
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User-Controllable Latent Transformer for StyleGAN Image Layout Editing
Yuki Endo. 2022 · 2022
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BlobGAN: Spatially Disentangled Scene Representations
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, and Alexei A. Efros. 2022 · 2022
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Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. In The Eleventh International Conference on Learning Representations
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, and William Yang Wang. 2022 · 2022
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An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. In The Eleventh International Conference on Learning Representations
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, and Daniel Cohen-or. 2022 · 2022
Earlier work this paper cites.
Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2022 · 2022
Earlier work this paper cites.
Classifier-Free Diffusion Guidance
Jonathan Ho. 2022 · 2022
Earlier work this paper cites.
Hierarchical text-conditional image generation with CLIP latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Cited alongside, same era.
Diffusers: State-of-the-art diffusion models
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf. 2022 · 2022
Cited alongside, same era.
Rewriting geometric rules of a GAN
Sheng-Yu Wang, David Bau, and Jun-Yan Zhu. 2022 · 2022
Cited alongside, same era.
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, and Mike Zheng Shou. 2022 · 2022
Cited alongside, same era.
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen. 2022 · 2022
Cited alongside, same era.
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jie Song, Ying Shan, and Jian Zhang. 2023 · 2023
Later among the works it cites.
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Q. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russ Howes, Po-Yao (Bernie) Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Huijiao Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski. 2023 · 2023
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Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Xingang Pan, Ayush Kumar Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt. 2023 · 2023
Later among the works it cites.
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, and Niloy Mitra. 2023 · 2023
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Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, et al · 2022
Cited alongside, same era.
A Neural Space-Time Representation for Text-to-Image Personalization
Yuval Alaluf, Elad Richardson, Gal Metzer, and Daniel Cohen-Or. 2023 · 2023
Cited alongside, same era.
Domain-agnostic tuning-encoder for fast personalization of text-to-image models
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, and Amit H Bermano. 2023 · 2023
Cited alongside, same era.
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, and Dani Lischinski. 2023a · 2023
Cited alongside, same era.
Blended Latent Diffusion
Omri Avrahami, Ohad Fried, and Dani Lischinski. 2023b · 2023
Cited alongside, same era.
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, and Dani Lischinski. 2023d · 2023
Cited alongside, same era.
Multidiffusion: Fusing diffusion paths for controlled image generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, and Tali Dekel. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, and Daniel Cohen-Or. 2023 · 2023
Later among the works it cites.
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, and Jia-Bin Huang. 2023 · 2023
Later among the works it cites.
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, A. Blattmann, Tim Dockhorn, Jonas Muller, Joe Penna, and Robin Rombach. 2023 · 2023
Later among the works it cites.
Fatezero: Fusing attentions for zero-shot text-based video editing. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 15932–15942
Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, and Qifeng Chen. 2023 · 2023
Later among the works it cites.
ConceptLab: Creative Generation using Diffusion Prior Constraints
Elad Richardson, Kfir Goldberg, Yuval Alaluf, and Daniel Cohen-Or. 2023 · 2023
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DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 22500–22510
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023 · 2023
Later among the works it cites.
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, and Yaniv Taigman. 2023 · 2023
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DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, and Song Bai. 2023 · 2023
Later among the works it cites.
P+: Extended Textual Conditioning in Text-to-Image Generation
Andrey Voynov, Q. Chu, Daniel Cohen-Or, and Kfir Aberman. 2023 · 2023
Later among the works it cites.
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello. 2023 · 2023
Later among the works it cites.
Reco: Region-controlled text-to-image generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 14246–14255
Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, et al · 2023
Later among the works it cites.
Adding Conditional Control to Text-to-Image Diffusion Models. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 3836–3847
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala. 2023 · 2023
Later among the works it cites.
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 22490–22499
Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, and Xi Li. 2023 · 2023
Later among the works it cites.
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
Hadi Alzayer, Zhihao Xia, Xuaner Zhang, Eli Shechtman, Jia-Bin Huang, and Michael Gharbi. 2024 · 2024
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Amazon Mechanical Turk
Amazon. 2024 · 2024
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PALP: Prompt Aligned Personalization of Text-to-Image Models
Moab Arar, Andrey Voynov, Amir Hertz, Omri Avrahami, Shlomi Fruchter, Yael Pritch, Daniel Cohen-Or, and Ariel Shamir. 2024 · 2024
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Implicit Style-Content Separation using B-LoRA
Yarden Frenkel, Yael Vinker, Ariel Shamir, and Daniel Cohen-Or. 2024 · 2024
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Recovering the Pre-Fine-Tuning Weights of Generative Models
Eliahu Horwitz, Jonathan Kahana, and Yedid Hoshen. 2024 · 2024
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EasyDrag: Efficient Point-based Manipulation on Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8404–8413
Xingzhong Hou, Boxiao Liu, Yi Zhang, Jihao Liu, Yu Liu, and Haihang You. 2024 · 2024
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DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
Chong Mou, Xintao Wang, Jie Song, Ying Shan, and Jian Zhang. 2024 · 2024
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Compositional Text-to-Image Generation with Dense Blob Representations
Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, and Arash Vahdat. 2024 · 2024
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Training-Free Consistent Text-to-Image Generation
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, and Yuval Atzmon. 2024 · 2024
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ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, and Yedid Hoshen. 2024 · 2024
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