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Personalized image generation is crucial for improving the user experience, as it renders reference images into preferred ones according to user visual preferences.
Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David A. McAllester, Satinder Singh, and Yishay Mansour · 1999
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Clipscore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, and et.al · 2022
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Lora: Low-rank adaptation of large language models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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GLIDE: towards photorealistic image generation and editing with text-guided diffusion models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2022
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Gemini: A family of highly capable multimodal models
Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, and et al · 2023
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Qwen technical report, 2023
Jinze Bai, Shuai Bai, Yunfei Chu, and et.al · 2023
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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 · 2023
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Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5), 2023
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang · 2023
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VIP5: towards multimodal foundation models for recommendation
Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, and Yongfeng Zhang · 2023
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Generating images with multimodal language models
Jing Yu Koh, Daniel Fried, and Russ Salakhutdinov · 2023
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BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven C. H. Hoi · 2023
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Unified language-vision pretraining in LLM with dynamic discrete visual tokenization
Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, and Yadong Mu · 2024
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A survey of generative search and recommendation in the era of large language models
Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, and Tat-Seng Chua · 2024
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Gpt-4 technical report, 2024
OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, and et.al · 2024
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Pmg: Personalized multimodal generation with large language models
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, and Xi Xiao · 2024
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Powerful and flexible: Personalized text-to-image generation via reinforcement learning
Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, and Wen Li · 2024
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 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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Adbooster: Personalized ad creative generation using stable diffusion outpainting
Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, and Ugo Tanielian · 2023
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Llama: Open and efficient foundation language models, 2023
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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Latent structure mining with contrastive modality fusion for multimedia recommendation
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, and Liang Wang · 2023
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Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation
Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, and Su Wang · 2024
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MORE: Multi-mOdal REtrieval augmented generative commonsense reasoning
Wanqing Cui, Keping Bi, Jiafeng Guo, and Xueqi Cheng · 2024
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Gpt-4v(ision) is a human-aligned evaluator for text-to-3d generation
Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, and Gordon Wetzstein · 2024
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SGDM: an adaptive style-guided diffusion model for personalized text to image generation
Yifei Xu, Xiaolong Xu, Honghao Gao, and Fu Xiao · 2024
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Diffusion models for generative outfit recommendation
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, and Xiangnan He · 2024
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A new creative generation pipeline for click-through rate with stable diffusion model
Hao Yang, Jianxin Yuan, Shuai Yang, Linhe Xu, Shuo Yuan, and Yifan Zeng · 2024
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Jedi: Joint-image diffusion models for finetuning-free personalized text-to-image generation
Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, and Yogesh Balaji · 2024
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Recommender systems in the era of large language models (llms)
Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, and Qing Li · 2024
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