Opt-In Art: Learning Art Styles Only from Few Examples | Paper Citation Record

Observation d6634394-dfdb-4215-9b3b-a8dc43e2cf8f · outbound

This paper cites Andersen v.

Opt-In Art: Learning Art Styles Only from Few Examples Andersen v

Reference 1

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This paper cites In- structpix2pix: Learning to follow image editing instructions.

Opt-In Art: Learning Art Styles Only from Few Examples In- structpix2pix: Learning to follow image editing instructions

Reference 2

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Observation 9bae733b-e619-4c51-bf6e-b5fa1e2ac992 · outbound

This paper cites Extracting training data from diffu- sion models.

Opt-In Art: Learning Art Styles Only from Few Examples Extracting training data from diffu- sion models

Reference 3

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This paper cites Towards memorization-free diffusion models.

Opt-In Art: Learning Art Styles Only from Few Examples Towards memorization-free diffusion models

Reference 4

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This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.

Opt-In Art: Learning Art Styles Only from Few Examples Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,

Reference 5

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This paper cites Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

Opt-In Art: Learning Art Styles Only from Few Examples Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 6

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Observation e89c08fb-ab31-47f9-94b6-0c2588e04325 · outbound

This paper cites Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

Opt-In Art: Learning Art Styles Only from Few Examples Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 7

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This paper cites Stable diffusion v1.4, 2022.

Opt-In Art: Learning Art Styles Only from Few Examples Stable diffusion v1.4, 2022

Reference 8

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Observation 0ee5d6e5-09ef-4545-9051-e8fa9c9bb1f3 · outbound

This paper cites Stable diffusion v1-4 model card, 2022.

Opt-In Art: Learning Art Styles Only from Few Examples Stable diffusion v1-4 model card, 2022

Reference 9

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Observation a4e8a9f1-27ac-45ce-86a3-a3ec7d09d5ac · outbound

This paper cites DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.

Opt-In Art: Learning Art Styles Only from Few Examples DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Reference 10

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Observation a4d94af9-0b11-449b-981d-9a1e4ce78fb9 · outbound

This paper cites Multiresolution Textual Inversion.

Opt-In Art: Learning Art Styles Only from Few Examples Multiresolution Textual Inversion

Reference 11

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Observation d2f33a6f-9e50-4b0f-9e31-9b18148f26bc · outbound

This paper cites Ambient diffu- sion: Learning clean distributions from corrupted data.

Opt-In Art: Learning Art Styles Only from Few Examples Ambient diffu- sion: Learning clean distributions from corrupted data

Reference 12

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Observation 57cc0cae-1ecf-44ca-8cad-cf3402a03168 · outbound

This paper cites Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data.

Opt-In Art: Learning Art Styles Only from Few Examples Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data

Reference 13

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Observation fc86bead-2f7f-4036-a21d-36a5cc4ee771 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding, 2019.

Opt-In Art: Learning Art Styles Only from Few Examples Bert: Pre-training of deep bidirectional trans- formers for language understanding, 2019

Reference 14

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Observation 82f02949-8f31-4ff2-8aaa-a68e50d8fbd5 · outbound

This paper cites Image quilting for texture synthesis and transfer.

Opt-In Art: Learning Art Styles Only from Few Examples Image quilting for texture synthesis and transfer

Reference 15

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Observation a87d3d83-3bfa-4e08-b73f-b73dce729d42 · outbound

This paper cites Art and the science of generative ai.

Opt-In Art: Learning Art Styles Only from Few Examples Art and the science of generative ai

Reference 16

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Observation 61b7eace-3b6c-4301-a8f0-d7ec89ae7c0f · outbound

This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.

Opt-In Art: Learning Art Styles Only from Few Examples Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 17

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Observation 195262a4-cca5-45b9-8999-8a12b9b5fe66 · outbound

This paper cites Erasing concepts from diffusion models, 2023.

Opt-In Art: Learning Art Styles Only from Few Examples Erasing concepts from diffusion models, 2023

Reference 18

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Observation b056723d-8e6d-4e21-8fcb-1b575b3f78a4 · outbound

This paper cites Unified Concept Editing in Diffusion Models.

Opt-In Art: Learning Art Styles Only from Few Examples Unified Concept Editing in Diffusion Models

Reference 19

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Observation 4887267c-4d01-4c51-a6f4-c0eeeb2b2b13 · outbound

This paper cites Com- moncanvas: Open diffusion models trained on creative- commons images.

Opt-In Art: Learning Art Styles Only from Few Examples Com- moncanvas: Open diffusion models trained on creative- commons images

Reference 20

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Observation d87e7fb8-3e44-4a28-a7e1-4c60e5692949 · outbound

This paper cites Getty images v.

Opt-In Art: Learning Art Styles Only from Few Examples Getty images v

Reference 21

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Observation 02841b08-5f7f-4a0e-8f9c-096291c224ba · outbound

This paper cites This artist is dominating ai-generated art.

Opt-In Art: Learning Art Styles Only from Few Examples This artist is dominating ai-generated art

Reference 22

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Observation 4ea38406-5df4-49db-9a05-23bf4d70709e · outbound

This paper cites Selective amnesia: A continual learning approach to forgetting in deep generative models,.

Opt-In Art: Learning Art Styles Only from Few Examples Selective amnesia: A continual learning approach to forgetting in deep generative models,

Reference 23

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Observation b0fa0c22-f500-493b-96a0-f2873a75efb4 · outbound

This paper cites Style aligned image generation via shared atten- tion.

Opt-In Art: Learning Art Styles Only from Few Examples Style aligned image generation via shared atten- tion

Reference 24

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Observation 77497c3d-a158-429f-9362-55ab904bc88f · outbound

This paper cites The choices hidden in photography.

Opt-In Art: Learning Art Styles Only from Few Examples The choices hidden in photography

Reference 25

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Observation 62b73bd5-e4d5-47cd-9fd4-5982f282112f · outbound

This paper cites Image analogies.

Opt-In Art: Learning Art Styles Only from Few Examples Image analogies

Reference 26

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Observation 3bd73c28-54f0-46e1-9c44-0bb0668a5c51 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

Opt-In Art: Learning Art Styles Only from Few Examples Classifier-free diffusion guidance, 2022

Reference 27

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Observation fb7fe448-abcf-48b3-8e61-00cb4a13cd04 · outbound

This paper cites Denoising diffu- sion probabilistic models, 2020.

Opt-In Art: Learning Art Styles Only from Few Examples Denoising diffu- sion probabilistic models, 2020

Reference 28

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Observation 81e3ac44-89f4-4085-8ad1-9e4deb4a8207 · outbound

This paper cites All but one: Surgical concept erasing with model preservation in text-to- image diffusion models.

Opt-In Art: Learning Art Styles Only from Few Examples All but one: Surgical concept erasing with model preservation in text-to- image diffusion models

Reference 29

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Observation 1181ac41-5f2f-49f4-b86b-cea5d3b822d9 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Opt-In Art: Learning Art Styles Only from Few Examples Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 30

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Observation e2ae0643-01d3-49d1-a47a-a6ca4f2f23d9 · outbound

This paper cites Visual Style Prompting with Swapping Self-Attention.

Opt-In Art: Learning Art Styles Only from Few Examples Visual Style Prompting with Swapping Self-Attention

Reference 31

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This paper cites CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion.

Opt-In Art: Learning Art Styles Only from Few Examples CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion

Reference 32

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This paper cites Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation.

Opt-In Art: Learning Art Styles Only from Few Examples Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation

Reference 33

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This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

Opt-In Art: Learning Art Styles Only from Few Examples Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 34

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Observation 632b4a57-0f12-4e12-abc3-c635690db07b · outbound

This paper cites Ablating con- cepts in text-to-image diffusion models.

Opt-In Art: Learning Art Styles Only from Few Examples Ablating con- cepts in text-to-image diffusion models

Reference 35

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This paper cites Multi-concept customization of text-to-image diffusion, 2023.

Opt-In Art: Learning Art Styles Only from Few Examples Multi-concept customization of text-to-image diffusion, 2023

Reference 36

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Observation 68304018-c8dd-4e2f-9b98-513a2f46e9af · outbound

This paper cites Mace: Mass concept erasure in diffu- sion models.

Opt-In Art: Learning Art Styles Only from Few Examples Mace: Mass concept erasure in diffu- sion models

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Observation a422d119-9ec7-4b11-92f6-de8a9b55f1bb · outbound

This paper cites Disguised Copyright Infringement of Latent Diffusion Models.

Opt-In Art: Learning Art Styles Only from Few Examples Disguised Copyright Infringement of Latent Diffusion Models

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Observation 2f48ea37-ef27-425a-a044-513bb23d2614 · outbound

This paper cites One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications.

Opt-In Art: Learning Art Styles Only from Few Examples One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications

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Observation 6fa0b559-3087-459b-8243-7e1998b972ee · outbound

This paper cites A Watermark-Conditioned Diffusion Model for IP Protection.

Opt-In Art: Learning Art Styles Only from Few Examples A Watermark-Conditioned Diffusion Model for IP Protection

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This paper cites Direct Unlearning Optimization for Robust and Safe Text-to-Image Models.

Opt-In Art: Learning Art Styles Only from Few Examples Direct Unlearning Optimization for Robust and Safe Text-to-Image Models

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Observation 9ea4b071-a2f7-45a3-b823-3a9874e7f5c1 · outbound

This paper cites Styleclip: Text-driven manipulation of stylegan imagery.

Opt-In Art: Learning Art Styles Only from Few Examples Styleclip: Text-driven manipulation of stylegan imagery

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Observation ca4d6bbe-9c30-4896-9d8b-76544b9c4be5 · outbound

This paper cites Circumventing concept erasure meth- ods for text-to-image generative models.

Opt-In Art: Learning Art Styles Only from Few Examples Circumventing concept erasure meth- ods for text-to-image generative models

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Observation e13c7b49-2de3-41d2-ae18-d66f6e601b0c · outbound

This paper cites Robust Concept Erasure Using Task Vectors.

Opt-In Art: Learning Art Styles Only from Few Examples Robust Concept Erasure Using Task Vectors

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This paper cites Dead- iff: An efficient stylization diffusion model with disentan- gled representations.

Opt-In Art: Learning Art Styles Only from Few Examples Dead- iff: An efficient stylization diffusion model with disentan- gled representations

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Observation d5484be0-0a11-455b-a10b-84ebe2ca63be · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

Opt-In Art: Learning Art Styles Only from Few Examples Learning transferable visual models from natural language supervision, 2021

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This paper cites High-resolution image syn- thesis with latent diffusion models, 2022.

Opt-In Art: Learning Art Styles Only from Few Examples High-resolution image syn- thesis with latent diffusion models, 2022

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Observation ad56c872-8137-4733-9d5b-a97b25ed383f · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, 2023.

Opt-In Art: Learning Art Styles Only from Few Examples Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, 2023

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Observation ef6e6747-5d87-48ba-9906-76a039936c49 · outbound

This paper cites Laion pop: 600,000 high-resolution images with detailed descriptions, 2023.

Opt-In Art: Learning Art Styles Only from Few Examples Laion pop: 600,000 high-resolution images with detailed descriptions, 2023

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Observation 5e00dce1-4039-47e8-ad15-0d1049fdeaf0 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Opt-In Art: Learning Art Styles Only from Few Examples Laion-5b: An open large-scale dataset for training next generation image-text models

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Observation a839d3e1-cfb6-46de-b856-d07dbadf6f49 · outbound

This paper cites This artist is dominating ai-generated art.

Opt-In Art: Learning Art Styles Only from Few Examples This artist is dominating ai-generated art

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:42:51.773709Z

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Observation a349d712-0447-40fe-b016-5c87bf4744e4 · outbound

This paper cites StyleDrop: Text-to-Image Generation in Any Style.

Opt-In Art: Learning Art Styles Only from Few Examples StyleDrop: Text-to-Image Generation in Any Style

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Observation ce912c74-86f5-4d87-b62d-f08781c235a9 · outbound

This paper cites Diffusion art or digital forgery? investigating data replication in diffusion models.

Opt-In Art: Learning Art Styles Only from Few Examples Diffusion art or digital forgery? investigating data replication in diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:42:51.756812Z

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Observation 30b48646-463c-48b6-b0a4-e0cd65ca41ea · outbound

This paper cites Measuring Style Similarity in Diffusion Models.

Opt-In Art: Learning Art Styles Only from Few Examples Measuring Style Similarity in Diffusion Models

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This paper cites Spawning ai, 2023.

Opt-In Art: Learning Art Styles Only from Few Examples Spawning ai, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:42:51.741418Z

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Observation 66dfb17a-5c33-4ff3-ae47-30d2eb96e7ea · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Opt-In Art: Learning Art Styles Only from Few Examples Plug-and-play diffusion features for text-driven image-to-image translation

Reference 56

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This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

Opt-In Art: Learning Art Styles Only from Few Examples InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 57

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This paper cites Evaluating data attribution for text-to-image models.

Opt-In Art: Learning Art Styles Only from Few Examples Evaluating data attribution for text-to-image models

Reference 58

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This paper cites A computational approach to studying aesthetic judgments of ambiguous artworks.

Opt-In Art: Learning Art Styles Only from Few Examples A computational approach to studying aesthetic judgments of ambiguous artworks

Reference 59

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This paper cites De- tecting, explaining, and mitigating memorization in diffusion models.

Opt-In Art: Learning Art Styles Only from Few Examples De- tecting, explaining, and mitigating memorization in diffusion models

Reference 60

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This paper cites Artists land a win in class action law- suit against a.i.

Opt-In Art: Learning Art Styles Only from Few Examples Artists land a win in class action law- suit against a.i

Reference 61

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This paper cites Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.

Opt-In Art: Learning Art Styles Only from Few Examples Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Reference 62

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This paper cites A Recipe for Watermarking Diffusion Models.

Opt-In Art: Learning Art Styles Only from Few Examples A Recipe for Watermarking Diffusion Models

Reference 63

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Opt-In Art: Learning Art Styles Only from Few Examples painting

Reference 64

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Opt-In Art: Learning Art Styles Only from Few Examples Unresolved cited work

Reference 2024

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