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Diffusion-based Image Editing (DIE) is an emerging research hot-spot, which often applies a semantic mask to control the target area for diffusion-based editing.
Imagenet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
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Denoising diffusion implicit models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
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Auto-encoding variational bayes
Kingma, D. P.; and Welling, M. 2013 · 2013
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Generative Adversarial Nets
Goodfellow, I. J.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A. C.; and Bengio, Y. 2014 · 2014
Earlier work this paper cites.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Xu, T.; Zhang, P.; Huang, Q.; Zhang, H.; Gan, Z.; Huang, X.; and He, X. 2018 · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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A style-based generator architecture for generative adversarial networks
Karras, T.; Laine, S.; and Aila, T. 2019 · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Earlier work this paper cites.
Analyzing and improving the image quality of stylegan
Karras, T.; Laine, S.; Aittala, M.; Hellsten, J.; Lehtinen, J.; and Aila, T. 2020 · 2020
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Clipscore: A reference-free evaluation metric for image captioning
Hessel, J.; Holtzman, A.; Forbes, M.; Bras, R. L.; and Choi, Y. 2021 · 2021
Cited alongside, same era.
Alias-free generative adversarial networks
Karras, T.; Aittala, M.; Laine, S.; Härkönen, E.; Hellsten, J.; Lehtinen, J.; and Aila, T. 2021 · 2021
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
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. 2022 · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Li, J.; Li, D.; Xiong, C.; and Hoi, S. 2022 · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Lugmayr, A.; Danelljan, M.; Romero, A.; Yu, F.; Timofte, R.; and Van Gool, L. 2022 · 2022
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Hierarchical text-conditional image generation with clip latents
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
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High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
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Cited alongside, same era.
Tedigan: Text-guided diverse face image generation and manipulation
Xia, W.; Yang, Y.; Xue, J.-H.; and Wu, B. 2021 · 2021
Cited alongside, same era.
Multimodal image synthesis and editing: A survey
Zhan, F.; Yu, Y.; Wu, R.; Zhang, J.; Lu, S.; Liu, L.; Kortylewski, A.; Theobalt, C.; and Xing, E. 2021 · 2021
Cited alongside, same era.
Blended diffusion for text-driven editing of natural images
Avrahami, O.; Lischinski, D.; and Fried, O. 2022 · 2022
Cited alongside, same era.
ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Balaji, Y.; Nah, S.; Huang, X.; Vahdat, A.; Song, J.; Kreis, K.; Aittala, M.; Aila, T.; Laine, S.; Catanzaro, B.; et al. 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.
Flexit: Towards flexible semantic image translation
Couairon, G.; Grechka, A.; Verbeek, J.; Schwenk, H.; and Cord, M. 2022a
Cited in the paper.
Diffedit: Diffusion-based semantic image editing with mask guidance
Couairon, G.; Verbeek, J.; Schwenk, H.; and Cord, M. 2022b
Cited in the paper.
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C.; Chan, W.; Saxena, S.; Li, L.; Whang, J.; Denton, E. L.; Ghasemipour, K.; Gontijo Lopes, R.; Karagol Ayan, B.; Salimans, T.; et al. 2022 · 2022
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Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Tumanyan, N.; Geyer, M.; Bagon, S.; and Dekel, T. 2022 · 2022
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ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
Wang, J.; Lu, G.; Xu, H.; Li, Z.; Xu, C.; and Fu, Y. 2022 · 2022
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Unifying Diffusion Models’ Latent Space, with Applications to CycleDiffusion and Guidance
Wu, C. H.; and De la Torre, F. 2022 · 2022
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Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Patashnik, O.; Garibi, D.; Azuri, I.; Averbuch-Elor, H.; and Cohen-Or, D. 2023 · 2023
Later among the works it cites.