Semantic Photo Manipulation with a Generative Image Prior
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Cited by 25 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Despite the recent success of GANs in synthesizing images conditioned on inputs such as a user sketch, text, or semantic labels, manipulating the high-level attributes of an existing natural photograph with GANs is challenging for two reasons. First, it is hard for GANs to precisely reproduce an input image. Second, after manipulation, the newly synthesized pixels often do not fit the original image. In this paper, we address these issues by adapting the image prior learned by GANs to image statistics of an individual image. Our method can accurately reconstruct the input image and synthesize new content, consistent with the appearance of the input image. We demonstrate our interactive system on several semantic image editing tasks, including synthesizing new objects consistent with background, removing unwanted objects, and changing the appearance of an object. Quantitative and qualitative comparisons against several existing methods demonstrate the effectiveness of our method.
Key facts. Cited by 178 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 May 2020.
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Citing papers per year: 2021: 62; 2022: 47; 2023: 43; 2024: 18; 2025: 6; 2026: 2.
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- 2025Diffusion Restoration Adapter for Real-World Image Restoration28 Feb 2025
- 2025StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models13 Feb 2025
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- 2024LIPE: Learning Personalized Identity Prior for Non-rigid Image Editing25 Jun 2024
- 2024Interpreting the Weight Space of Customized Diffusion Models13 Jun 2024
- 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion16 Oct 2023
- 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision20 Jun 2023
- 2023Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model13 Jun 2023
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- 2023Text-to-image Diffusion Models in Generative AI: A Survey14 Mar 2023
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- 2024Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis3 Dec 2024
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- 2024CREW: Facilitating Human-AI Teaming Research31 Jul 2024
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