Browse State-of-the-Art › Diffusion Personalization
Diffusion Personalization
14 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
The goal of this task is to customize a generative diffusion model to user-specific datasets so that it can generate more user-specific dataset
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
14 shown of 14 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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25 Aug 2022 12 repositories listed Syntology ran 10 of 12 samples · 2 unverified · 8 pointer-only (licence)Once the subject is embedded in the output domain of the model, the unique identifier can be used to synthesize novel photorealistic images of the subject contextualized in different scenes.
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15 Jan 2024 4 repositories listed Syntology ran 8 of 10 samples · 2 unverifiedThere has been significant progress in personalized image synthesis with methods such as Textual Inversion, DreamBooth, and LoRA.
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18 Mar 2024 3 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 3 pointer-only (licence)This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an unparalleled degree of face similarity…
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13 Dec 2023 2 repositories listedWe decouple domain-related guidance from the conditional guidance used in classifier-free guidance mechanisms to preserve open-world control guidance and unconditional guidance from the pre-trained model.
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13 Jul 2023 2 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedBy composing these weights into the diffusion model, coupled with fast finetuning, HyperDreamBooth can generate a person's face in various contexts and styles, with high subject details while also preserving the model's…
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8 Dec 2022 2 repositories listedCan we teach a model to quickly acquire a new concept, given a few examples?
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26 Jan 2025 1 repository listedThe stories and characters that captivate us as we grow up shape unique fantasy worlds, with images serving as the primary medium for visually experiencing these realms.
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12 Sep 2024 1 repository listed Syntology ran 11 of 14 samples · 3 unverifiedRecent breakthroughs in text-to-image models have opened up promising research avenues in personalized image generation, enabling users to create diverse images of a specific subject using natural language prompts.
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27 May 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)Recent text-to-image customization works have been proven successful in generating images of given concepts by fine-tuning the diffusion models on a few examples.
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8 Mar 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)However, it is still challenging for previous methods to preserve both the identity similarity and editability due to overfitting to training samples.
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7 Dec 2023 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)Recent advances in text-to-image generation have made remarkable progress in synthesizing realistic human photos conditioned on given text prompts.
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21 Jul 2023 1 repository listed Syntology ran 4 of 8 samples · 4 unverifiedIn this paper, we propose Subject-Diffusion, a novel open-domain personalized image generation model that, in addition to not requiring test-time fine-tuning, also only requires a single reference image to support…
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17 May 2023 1 repository listed Syntology ran 6 of 17 samples · 11 unverifiedFastComposer proposes delayed subject conditioning in the denoising step to maintain both identity and editability in subject-driven image generation.
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20 Mar 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedDiffusion models have achieved remarkable success in text-to-image generation, enabling the creation of high-quality images from text prompts or other modalities.
Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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