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Editing images using natural language instructions has become a natural and expressive way to modify visual content; yet, evaluating the performance of such models remains challenging.
Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Fast approximate nearest neighbors with automatic algorithm configuration
Marius Muja and David G Lowe · 2009
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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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Diffedit: Diffusion-based semantic image editing with mask guidance, 2022
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, and Matthieu Cord · 2022
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Prompt-to-prompt image editing with cross attention control, 2022
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Photorealistic text-to-image diffusion models with deep language understanding, 2022
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, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi · 2022
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Scaling autoregressive models for content-rich text-to-image generation, 2022
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, and Yonghui Wu · 2022
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Imagen editor and editbench: Advancing and evaluating text-guided image inpainting
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J Fleet, Radu Soricut, et al · 2023
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Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2023
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2023
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Instructdiffusion: A generalist modeling interface for vision tasks, 2023
Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Han Hu, Dong Chen, and Baining Guo · 2023
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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 · 2023
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Smartedit: Exploring complex instruction-based image editing with multimodal large language models, 2023
Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, and Ying Shan · 2023
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Focus on your instruction: Fine-grained and multi-instruction image editing by attention modulation, 2023
Qin Guo and Tianwei Lin · 2023
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Editval: Benchmarking diffusion based text-guided image editing methods, 2023
Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, and Soheil Feizi · 2023
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Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering, 2023
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, and Noah A Smith · 2023
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Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al · 2023
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Text-driven image editing via learnable regions, 2024
Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, and Ming-Hsuan Yang · 2024
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Instructgie: Towards generalizable image editing, 2024
Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, and Yanzhi Wang · 2024
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Stylebooth: Image style editing with multimodal instruction, 2024
Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, and Jingfeng Zhang · 2024
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Zone: Zero-shot instruction-guided local editing, 2024
Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xuhui Liu, Jiaming Liu, Li Lin, Xu Tang, Yao Hu, Jianzhuang Liu, and Baochang Zhang · 2024
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Leveraging llms for on-the-fly instruction guided image editing, 2024
Rodrigo Santos, João Silva, and António Branco · 2024
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Instructbrush: Learning attention-based instruction optimization for image editing, 2024
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
Cited alongside, same era.
Pick-a-pic: An open dataset of user preferences for text-to-image generation, 2023
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, 2023
Chunyi Li, Zicheng Zhang, Haoning Wu, Wei Sun, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, and Weisi Lin · 2023
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Geneval: An object-focused framework for evaluating text-to-image alignment, 2023
Dhruba Ghosh, Hanna Hajishirzi, and Ludwig Schmidt · 2023
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I2ebench: A comprehensive benchmark for instruction-based image editing
Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji, et al · 2024
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Guiding Instruction-based Image Editing via Multimodal Large Language Models
Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, and Zhe Gan · 2024
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Omnigen: Unified image generation, 2024
Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, and Zheng Liu · 2024
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One diffusion to generate them all, 2024
Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, and Jiasen Lu · 2024
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Ruoyu Zhao, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Wei Wu, Pengcheng Xu, Mingrui Zhu, Nannan Wang, and Xinbo Gao · 2024
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Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation, 2024
Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, and Su Wang · 2024
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Introducing gemini 2.0: our new ai model for the agentic era
Google · 2024
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Evalmuse-40k: A reliable and fine-grained benchmark with comprehensive human annotations for text-to-image generation model evaluation, 2024
Shuhao Han, Haotian Fan, Jiachen Fu, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Chunle Guo, and Chongyi Li · 2024
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Gpt image 1: State-of-the-art image generation model
OpenAI · 2025
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Ie-bench: Advancing the measurement of text-driven image editing for human perception alignment, 2025
Shangkun Sun, Bowen Qu, Xiaoyu Liang, Songlin Fan, and Wei Gao · 2025
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Univg: A generalist diffusion model for unified image generation and editing, 2025
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Lmm4lmm: Benchmarking and evaluating large-multimodal image generation with lmms, 2025
Jiarui Wang, Huiyu Duan, Yu Zhao, Juntong Wang, Guangtao Zhai, and Xiongkuo Min · 2025
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