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With the great success of text-conditioned diffusion models in creative text-to-image generation, various text-driven image editing approaches have attracted the attentions of many researchers.
Plug-and-play diffusion features for text-driven image-to-image translation
Tumanyan, N.; Geyer, M.; Bagon, S.; and Dekel, T. 2023 · 1930
Earlier work this paper cites.
Denoising diffusion implicit models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Song, Y.; Sohl-Dickstein, J.; Kingma, D. P.; Kumar, A.; Ermon, S.; and Poole, B. 2020 · 2011
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Dhariwal, P.; and Nichol, A. 2021 · 2021
Earlier work this paper cites.
Variational diffusion models
Kingma, D.; Salimans, T.; Poole, B.; and Ho, J. 2021 · 2021
Earlier work this paper cites.
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Meng, C.; He, Y.; Song, Y.; Song, J.; Wu, J.; Zhu, J.-Y.; and Ermon, S. 2021 · 2021
Earlier work this paper cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2021 · 2021
Earlier work this paper cites.
Improved denoising diffusion probabilistic models
Nichol, A. Q.; and Dhariwal, P. 2021 · 2021
Earlier work this paper cites.
Cogview2: Faster and better text-to-image generation via hierarchical transformers
Ding, M.; Zheng, W.; Hong, W.; and Tang, J. 2022 · 2022
Cited alongside, same era.
Prompt-to-prompt image editing with cross attention control
Hertz, A.; Mokady, R.; Tenenbaum, J.; Aberman, K.; Pritch, Y.; and Cohen-Or, D. 2022 · 2022
Cited alongside, same era.
Denoising diffusion restoration models
Kawar, B.; Elad, M.; Ermon, S.; and Song, J. 2022 · 2022
Cited alongside, same era.
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Kim, D.; Na, B.; Kwon, S. J.; Lee, D.; Kang, W.; and Moon, I.-C. 2022 · 2022
Cited alongside, same era.
Instructpix2pix: Learning to follow image editing instructions
Brooks, T.; Holynski, A.; and Efros, A. A. 2023 · 2023
Closest in time.
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Cao, M.; Wang, X.; Qi, Z.; Shan, Y.; Qie, X.; and Zheng, Y. 2023 · 2023
Closest in time.
Imagic: Text-based real image editing with diffusion models
Kawar, B.; Zada, S.; Lang, O.; Tov, O.; Chang, H.; Dekel, T.; Mosseri, I.; and Irani, M. 2023 · 2023
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Null-text inversion for editing real images using guided diffusion models
Mokady, R.; Hertz, A.; Aberman, K.; Pritch, Y.; and Cohen-Or, D. 2023 · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Ruiz, N.; Li, Y.; Jampani, V.; Pritch, Y.; Rubinstein, M.; and Aberman, K. 2023 · 2023
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Liu, L.; Ren, Y.; Lin, Z.; and Zhao, Z. 2022 · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Cited alongside, same era.
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Saharia, C.; Chan, W.; Saxena, S.; Li, L.; Whang, J.; Denton, E.; Ghasemipour, S. K. S.; Ayan, B. K.; Mahdavi, S. S.; Lopes, R. G.; et al. 2022 · 2022
Cited alongside, same era.
Scaling autoregressive models for content-rich text-to-image generation
Yu, J.; Xu, Y.; Koh, J. Y.; Luong, T.; Baid, G.; Wang, Z.; Vasudevan, V.; Ku, A.; Yang, Y.; Ayan, B. K.; et al. 2022 · 2022
Cited alongside, same era.
Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
Ma, Y.; He, Y.; Cun, X.; Wang, X.; Shan, Y.; Li, X.; and Chen, Q. 2023a
Cited in the paper.
LMD: Faster Image Reconstruction with Latent Masking Diffusion
Ma, Z.; Li, J.; Zhou, B.; et al. 2023b
Cited in the paper.
Edict: Exact diffusion inversion via coupled transformations
Wallace, B.; Gokul, A.; and Naik, N. 2023 · 2023
Closest in time.
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Wang, Q.; Zhang, B.; Birsak, M.; and Wonka, P. 2023 · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
Zhang, L.; and Agrawala, M. 2023 · 2023
Closest in time.