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Text-to-image (T2I) personalization allows users to guide the creative image generation process by combining their own visual concepts in natural language prompts.
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DreamBooth: Fine Tuning Text-to-image Diffusion Models for Subject-Driven Generation
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Personalized federated learning using hypernetworks. In International Conference on Machine Learning . PMLR, 9489–9502
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Designing an Encoder for StyleGAN Image Manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or. 2021 · 2021
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Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022 · 2022
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, et al · 2022
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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. 2022 · 2022
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High-Fidelity GAN Inversion for Image Attribute Editing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Low-rank Adaptation for Fast Text-to-Image Diffusion Fine-tuning
2023 · 2023
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InstructPix2Pix: Learning to Follow Image Editing Instructions. In CVPR
Tim Brooks, Aleksander Holynski, and Alexei A. Efros. 2023 · 2023
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Subject-driven Text-to-Image Generation via Apprenticeship Learning
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Rui, Xuhui Jia, Ming-Wei Chang, and William W. Cohen. 2023 · 2023
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Designing an encoder for fast personalization of text-to-image models
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2023 · 2023
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SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, and Feng Yang. 2023 · 2023
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ReVersion: Diffusion-Based Relation Inversion from Images
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin CK Chan, and Ziwei Liu. 2023 · 2023
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Scaling up GANs for Text-to-Image Synthesis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, and Taesung Park. 2023 · 2023
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Dongxu Li, Junnan Li, and Steven C. H. Hoi. 2023 · 2023
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Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, and Jun-Yan Zhu. 2023 · 2023
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Texture: Text-guided texturing of 3d shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
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StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, and Timo Aila. 2023 · 2023
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InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
Jing Shi, Wei Xiong, Zhe Lin, and Hyun Joon Jung. 2023 · 2023
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Key-Locked Rank One Editing for Text-to-Image Personalization
Yoad Tewel, Rinon Gal, Gal Chechik, and Yuval Atzmon. 2023 · 2023
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P + P+ : Extended Textual Conditioning in Text-to-Image Generation
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, and Kfir Aberman. 2023 · 2023
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Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation
Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, and Wangmeng Zuo. 2023 · 2023
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Yufan Zhou, Ruiyi Zhang, Tong Sun, and Jinhui Xu. 2023 · 2023
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