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Existing text-to-image editing methods tend to excel either in rigid or non-rigid editing but encounter challenges when combining both, resulting in misaligned outputs with the provided text prompts.
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R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in CVPR , 2022
2022
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O. Avrahami, D. Lischinski, and O. Fried, “Blended diffusion for text-driven editing of natural images,” in CVPR , 2022
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G. Kim, T. Kwon, and J. C. Ye, “Diffusionclip: Text-guided diffusion models for robust image manipulation,” in CVPR , 2022
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G. Couairon, J. Verbeek, H. Schwenk, and M. Cord, “Diffedit: Diffusion-based semantic image editing with mask guidance,” in ICLR , 2023
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O. Avrahami, T. Hayes, O. Gafni, S. Gupta, Y. Taigman, D. Parikh, D. Lischinski, O. Fried, and X. Yin, “Spatext: Spatio-textual representation for controllable image generation,” in CVPR , 2023
2023
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B. Kawar, S. Zada, O. Lang, O. Tov, H. Chang, T. Dekel, I. Mosseri, and M. Irani, “Imagic: Text-based real image editing with diffusion models,” in CVPR , 2023
2023
Cited alongside, same era.
A. Hertz, R. Mokady, J. Tenenbaum, K. Aberman, Y. Pritch, and D. Cohen-Or, “Prompt-to-prompt image editing with cross-attention control,” in ICLR , 2023
2023
Cited alongside, same era.
N. Tumanyan, M. Geyer, S. Bagon, and T. Dekel, “Plug-and-play diffusion features for text-driven image-to-image translation,” in CVPR , 2023
2023
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M. Cao, X. Wang, Z. Qi, Y. Shan, X. Qie, and Y. Zheng, “Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing,” in ICCV , 2023
D. Epstein, A. Jabri, B. Poole, A. A. Efros, and A. Holynski, “Diffusion self-guidance for controllable image generation,” in NeurIPS , 2023
2023
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Y. Alaluf, D. Garibi, O. Patashnik, H. Averbuch-Elor, and D. Cohen-Or, “Cross-image attention for zero-shot appearance transfer,” arXiv , 2023
2023
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Y. Deng, X. He, F. Tang, and W. Dong, “Zero-shot style transfer via attention rearrangement,” arXiv , 2023
2023
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D. Miyake, A. Iohara, Y. Saito, and T. Tanaka, “Negative-prompt inversion: Fast image inversion for editing with text-guided diffusion models,” arXiv , 2023
2023
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X. Ju, A. Zeng, Y. Bian, S. Liu, and Q. Xu, “Direct inversion: Boosting diffusion-based editing with 3 lines of code,” arXiv , 2023
2023
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2023
Cited alongside, same era.
G. Kwon and J. C. Ye, “Diffusion-based image translation using disentangled style and content representation,” in ICLR , 2023
2023
Cited alongside, same era.
L. Han, S. Wen, Q. Chen, Z. Zhang, K. Song, M. Ren, R. Gao, A. Stathopoulos, X. He, Y. Chen et al. , “Proxedit: Improving tuning-free real image editing with proximal guidance,” in WACV , 2024
2024
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