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Drag-based image editing using generative models provides precise control over image contents, enabling users to manipulate anything in an image with a few clicks.
A stochastic approximation method
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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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Diffusion models beat GANs on image synthesis
Prafulla Dhariwal and Alex Nichol · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2021
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Learning transferable visual models from natural language supervision
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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High-resolution image synthesis with latent diffusion models
Robin Rombach, A. Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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DiffusionCLIP: Text-guided diffusion models for robust image manipulation
Gwanghyun Kim, Taesung Kwon, and Jong Chul Ye · 2022
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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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InstructPix2Pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2023
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MasaCtrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Ming Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, and Yinqiang Zheng · 2023
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Diffusion self-guidance for controllable image generation
Dave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, and Aleksander Holynski · 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 · 2023
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Imagic: Text-based real image editing with diffusion models
Easydrag: Efficient point-based manipulation on diffusion models
Xingzhong Hou, Boxiao Liu, Yi Zhang, Jihao Liu, Yu Liu, and Haihang You · 2024
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Direct inversion: Boosting diffusion-based editing with 3 lines of code
Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, and Qiang Xu · 2024
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FreeDrag: Feature dragging for reliable point-based image editing
Pengyang Ling, Lin Chen, Pan Zhang, Huaian Chen, Yi Jin, and Jinjin Zheng · 2024
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Drag your noise: Interactive point-based editing via diffusion semantic propagation
Haofeng Liu, Chenshu Xu, Yifei Yang, Lihua Zeng, and Shengfeng He · 2024
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DiffEditor: Boosting accuracy and flexibility on diffusion-based image editing
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, and Jian Zhang · 2024
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DragonDiffusion: Enabling drag-style manipulation on diffusion models
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Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2023
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Latent consistency models: Synthesizing high-resolution images with few-step inference
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, and Hang Zhao · 2023
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Null-text inversion for editing real images using guided diffusion models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2023
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Drag your GAN: Interactive point-based manipulation on the generative image manifold
Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt · 2023
Cited alongside, same era.
Noise map guidance: Inversion with spatial context for real image editing
Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, and Yonghyun Jeong · 2024
Cited alongside, same era.
StableDrag: Stable dragging for point-based image editing
Yutao Cui, Xiaotong Zhao, Guozhen Zhang, Shengming Cao, Kai Ma, and Limin Wang · 2024
Cited alongside, same era.
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, and Jian Zhang · 2024
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The blessing of randomness: SDE beats ODE in general diffusion-based image editing
Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, and Chongxuan Li · 2024
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DragDiffusion: Harnessing diffusion models for interactive point-based image editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent YF Tan, and Song Bai · 2024
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Inversion-free image editing with natural language
Sihan Xu, Yidong Huang, Jiayi Pan, Ziqiao Ma, and Joyce Chai · 2024
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GoodDrag: Towards good practices for drag editing with diffusion models
Zewei Zhang, Huan Liu, Jun Chen, and Xiangyu Xu · 2024
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