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Recent advances in generative diffusion models have shown a notable inherent understanding of image style and semantics.
Visual pattern discrimination
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Li-Yi Wei and Marc Levoy · 2000
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Alexei A. Efros and William T. Freeman · 2001
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The steerable pyramid: a flexible architecture for multi-scale derivative computation
E.P. Simoncelli and W.T. Freeman · 2002
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Graphcut textures: Image and video synthesis using graph cuts
Vivek Kwatra, Arno Schödl, Irfan Essa, Greg Turk, and Aaron Bobick · 2003
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Texture optimization for example-based synthesis
Vivek Kwatra, Irfan Essa, Aaron Bobick, and Nipun Kwatra · 2005
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Patchmatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
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Image melding: Combining inconsistent images using patch-based synthesis
Soheil Darabi, Eli Shechtman, Connelly Barnes, Dan B. Goldman, and Pradeep Sen · 2012
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Texture synthesis using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2015
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Self tuning texture optimization
Alexandre Kaspar, Boris Neubert, Dani Lischinski, Mark Pauly, and Johannes Kopf · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Brushables: Example-based edge-aware directional texture painting
M. Lukáč, J. Fišer, P. Asente, J. Lu, E. Shechtman, and D. Sýkora · 2015
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Image style transfer using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Michael Li, Chuan and Wand · 2016
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
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Demystifying neural style transfer
Yanghao Li, Naiyan Wang, Jiaying Liu, and Xiaodi Hou · 2017
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Stable and controllable neural texture synthesis and style transfer using histogram losses
Eric Risser, Pierre Wilmot, and Connelly Barnes · 2017
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Analysis and controlled synthesis of inhomogeneous textures
Yang Zhou, Huajie Shi, Dani Lischinski, Minglun Gong, Johannes Kopf, and Hui Huang · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei Efros, Summer Winter, Van Gogh, Cezanne Monet, and Ukiyo-E Photos · 2017
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The contextual loss for image transformation with non-aligned data
Roey Mechrez, Itamar Talmi, and Lihi Zelnik-Manor · 2018
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Non-stationary texture synthesis by adversarial expansion
Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2018
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Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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Ingan: Capturing and retargeting the ”dna” of a natural image
Assaf Shocher, Shai Bagon, Phillip Isola, and Michal Irani · 2019
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Swapping autoencoder for deep image manipulation
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, AlexeiA. Efros, and Richard Zhang · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Herve Jegou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
More control for free! image synthesis with semantic diffusion guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, and Trevor Darrell · 2023
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DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Styledrop: Text-to-image synthesis of any style
Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, and Daniel Castro Chin · 2023
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Emergent correspondence from image diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, and Bharath Hariharan · 2023
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Plug-and-play diffusion features for text-driven image-to-image translation
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel · 2023
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Diffusion models beat GANs on image synthesis
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A sliced wasserstein loss for neural texture synthesis
Eric Heitz, Kenneth Vanhoey, Thomas Chambon, and Laurent Belcour · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Stytr2: Image style transfer with transformers
Yingying Deng, Fan Tang, Weiming Dong, Chongyang Ma, Xingjia Pan, Lei Wang, and Changsheng Xu · 2022
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Generating natural images with direct patch distributions matching
Ariel Elnekave and Yair Weiss · 2022
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, and Daniel Cohen-or · 2022
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Stylediffusion: Controllable disentangled style transfer via diffusion models
Zhizhong Wang, Lei Zhao, and Wei Xing · 2023
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
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Neural texture synthesis with guided correspondence
Yang Zhou, Kaijian Chen, Rongjun Xiao, and Hui Huang · 2023
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Designing a better asymmetric vqgan for stablediffusion
Zixin Zhu, Xuelu Feng, Dongdong Chen, Jianmin Bao, Le Wang, Yinpeng Chen, Lu Yuan, and Gang Hua · 2023
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Dreamstyler: Paint by style inversion with text-to-image diffusion models
Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, and Kibeom Hong · 2024
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Cross-image attention for zero-shot appearance transfer
Yuval Alaluf, Daniel Garibi, Or Patashnik, Hadar Averbuch-Elor, and Daniel Cohen-Or · 2024
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Universal guidance for diffusion models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, and Tom Goldstein · 2024
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Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer
Jiwoo Chung, Sangeek Hyun, and Jae-Pil Heo · 2024
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Implicit style-content separation using b-lora
Yarden Frenkel, Yael Vinker, Ariel Shamir, and Daniel Cohen-Or · 2024
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Style aligned image generation via shared attention
Amir Hertz, Andrey Voynov, Shlomi Fruchter, and Daniel Cohen-Or · 2024
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Visual style prompting with swapping self-attention
Jaeseok Jeong, Junho Kim, Yunjey Choi, Gayoung Lee, and Youngjung Uh · 2024
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Customizing text-to-image models with a single image pair
Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, and Jun-Yan Zhu · 2024
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Styleshot: A snapshot on any style
Gao Junyao, Liu Yanchen, Sun Yanan, Tang Yinhao, Zeng Yanhong, Chen Kai, and Zhao Cairong · 2024
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SDXL: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2024
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Rb-modulation: Training-free personalization of diffusion models using stochastic optimal control
L Rout, Y Chen, N Ruiz, A Kumar, C Caramanis, S Shakkottai, and W Chu · 2024
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Csgo: Content-style composition in text-to-image generation
Peng Xing, Haofan Wang, Yanpeng Sun, Qixun Wang, Xu Bai, Hao Ai, Renyuan Huang, and Zechao Li · 2024
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Generating non-stationary textures using self-rectification
Yang Zhou, Rongjun Xiao, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2024
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