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Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge.
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Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, and Yanning Zhang · 2020
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Learning transferable visual models from natural language supervision
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Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel · 2023
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Jianyi Wang, Kelvin CK Chan, and Chen Change Loy · 2023
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Subjective-aligned dateset and metric for text-to-video quality assessment
Tengchuan Kou, Xiaohong Liu, Zicheng Zhang, Chunyi Li, Haoning Wu, Xiongkuo Min, Guangtao Zhai, and Ning Liu · 2024
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Aigiqa-20k: A large database for ai-generated image quality assessment
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Referring image editing: Object-level image editing via referring expressions
Chang Liu, Xiangtai Li, and Henghui Ding · 2024
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
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Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, and Yinqiang Zheng · 2023
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Pick-a-pic: An open dataset of user preferences for text-to-image generation
Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, and Omer Levy · 2023
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Agiqa-3k: An open database for ai-generated image quality assessment
Chunyi Li, Zicheng Zhang, Haoning Wu, Wei Sun, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, and Weisi Lin · 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
Cited alongside, same era.
Diffusion model-based image editing: A survey
Yi Huang, Jiancheng Huang, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Shifeng Chen, and Liangliang Cao
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, Alaaeldin El-Nouby, et al · 2024
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Bringing textual prompt to ai-generated image quality assessment
Bowen Qu, Haohui Li, and Wei Gao · 2024
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Doubly abductive counterfactual inference for text-based image editing
Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, and Yu-Gang Jiang · 2024
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E-bench: Subjective-aligned benchmark suite for text-driven video editing quality assessment
Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, and Wei Gao · 2024
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Magicbrush: A manually annotated dataset for instruction-guided image editing
Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, and Yu Su · 2024
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Human preference score: Better aligning text-to-image models with human preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, and Hongsheng Li · 2096
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