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In recent years, image editing models have witnessed remarkable and rapid development.
Pp-ocr: A practical ultra lightweight ocr system
Yuning Du, Chenxia Li, Ruoyu Guo, Xiaoting Yin, Weiwei Liu, Jun Zhou, Yifan Bai, Zilin Yu, Yehua Yang, Qingqing Dang, and Haoshuang Wang · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
Earlier work this paper cites.
Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, A. Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2022
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Zoedepth: Zero-shot transfer by combining relative and metric depth
Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, and Matthias Müller · 2023
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Viescore: Towards explainable metrics for conditional image synthesis evaluation
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, and Wenhu Chen · 2023
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Chong Mou, Xintao Wang, Liangbin Xie, Jing Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie · 2023
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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Instructedit: Improving automatic masks for diffusion-based image editing with user instructions
Qian Wang, Biao Zhang, Michael Birsak, and Peter Wonka · 2023
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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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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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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Recognize anything: A strong image tagging model
Youcai Zhang, Xinyu Huang, Jinyu Ma, Zhaoyang Li, Zhaochuan Luo, Yanchun Xie, Yuzhuo Qin, Tong Luo, Yaqian Li, Shilong Liu, et al · 2023
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Humanedit: A high-quality human-rewarded dataset for instruction-based image editing
Jinbin Bai, Wei Chow, Ling Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, and Shuicheng Yan · 2024
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Flux.1 [dev]
Black Forest Labs · 2024
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Flux.1 [schnell]
Black Forest Labs · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
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Seed-data-edit technical report: A hybrid dataset for instructional image editing
Yuying Ge, Sijie Zhao, Chen Li, Yixiao Ge, and Ying Shan · 2024
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Ace: All-round creator and editor following instructions via diffusion transformer
Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, and Jingren Zhou · 2024
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Instruct-imagen: Image generation with multi-modal instruction
Hexiang Hu, Kelvin CK Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, et al · 2024
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Smartedit: Exploring complex instruction-based image editing with multimodal large language models
Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, and Ying Shan · 2024
Earlier work this paper cites.
Hq-edit: A high-quality dataset for instruction-based image editing
Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, and Cihang Xie · 2024
Cited alongside, same era.
Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion
Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, and Qiang Xu · 2024
Cited alongside, same era.
Hunyuanvideo: A systematic framework for large video generative models
Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, et al · 2024
Cited alongside, same era.
Controlvar: Exploring controllable visual autoregressive modeling
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, and Bhiksha Raj · 2024
Cited alongside, same era.
Stable diffusion 3.5
Stability AI · 2025
Closest in time.
Shuai Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Sibo Song, Kai Dang, Peng Wang, Shijie Wang, Jun Tang, et al · 2025
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Flux.1 fill [dev]
Black Forest Labs · 2025
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Multimodal representation alignment for image generation: Text-image interleaved control is easier than you think, 2025
Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, and Baobao Chang · 2025
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Unified autoregressive visual generation and understanding with continuous tokens
Lijie Fan, Luming Tang, Siyang Qin, Tianhong Li, Xuan Yang, Siyuan Qiao, Andreas Steiner, Chen Sun, Yuanzhen Li, Tao Zhu, et al · 2025
Closest in time.
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Yaowei Li, Yuxuan Bian, Xu Ju, Zhaoyang Zhang, Ying Shan, and Qiang Xu · 2024
Cited alongside, same era.
Qwen2vl-flux: Unifying image and text guidance for controllable image generation, 2024
Pengqi Lu · 2024
Cited alongside, same era.
Exploring the role of large language models in prompt encoding for diffusion models
Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, and Yu Liu · 2024
Cited alongside, same era.
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
Cited alongside, same era.
Many-to-many image generation with auto-regressive diffusion models
Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M Susskind, and Jiatao Gu · 2024
Cited alongside, same era.
Emu edit: Precise image editing via recognition and generation tasks
Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, and Yaniv Taigman · 2024
Cited alongside, same era.
Seededit: Align image re-generation to image editing
Yichun Shi, Peng Wang, and Weilin Huang · 2024
Cited alongside, same era.
Ominicontrol: Minimal and universal control for diffusion transformer
Zhenxiong Tan, Songhua Liu, Xingyi Yang, Qiaochu Xue, and Xinchao Wang · 2024
Cited alongside, same era.
Rongyao Fang, Chengqi Duan, Kun Wang, Linjiang Huang, Hao Li, Shilin Yan, Hao Tian, Xingyu Zeng, Rui Zhao, Jifeng Dai, Xihui Liu, and Hongsheng Li · 2025
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Experiment with gemini 2.0 flash native image generation, 2025
Google Gemini2 · 2025
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Hidream-e1
HiDream-ai · 2025
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Hidream-i1
HiDream-ai · 2025
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Controlar: Controllable image generation with autoregressive models
Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, and Xinggang Wang · 2025
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Objectremovalalpha dataset
lrzjason · 2025
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Jiancang Ma, Qirong Peng, Xu Guo, Chen Chen, H. Lu, and Zhenyu Yang · 2025
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Ace++: Instruction-based image creation and editing via context-aware content filling
Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, and Jingren Zhou · 2025
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Superedit: Rectifying and facilitating supervision for instruction-based image editing
Li Ming, Gu Xin, Chen Fan, Xing Xiaoying, Wen Longyin, Chen Chen, and Zhu Sijie · 2025
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Introducing 4o image generation, 2025
OpenAI · 2025
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Flex.2-preview
ostris · 2025
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Transfer between modalities with metaqueries
Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, et al · 2025
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Ice-bench: A unified and comprehensive benchmark for image creating and editing
Yulin Pan, Xiangteng He, Chaojie Mao, Zhen Han, Zeyinzi Jiang, Jingfeng Zhang, and Yu Liu · 2025
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Lumina-omnilv: A unified multimodal framework for general low-level vision
Yuandong Pu, Le Zhuo, Kaiwen Zhu, Liangbin Xie, Wenlong Zhang, Xiangyu Chen, Pneg Gao, Yu Qiao, Chao Dong, and Yihao Liu · 2025
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SAM 2: Segment anything in images and videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollar, and Christoph Feichtenhofer · 2025
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step-1o-turbo-vision
StepFun · 2025
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Training-free text-guided image editing with visual autoregressive model
Yufei Wang, Lanqing Guo, Zhihao Li, Jiaxing Huang, Pichao Wang, Bihan Wen, and Jian Wang · 2025
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In-context edit: Enabling instructional image editing with in-context generation in large scale diffusion transformer
Zechuan Zhang, Ji Xie, Yu Lu, Zongxin Yang, and Yi Yang · 2025
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Señorita-2m: A high-quality instruction-based dataset for general video editing by video specialists
Bojia Zi, Penghui Ruan, Marco Chen, Xianbiao Qi, Shaozhe Hao, Shihao Zhao, Youze Huang, Bin Liang, Rong Xiao, and Kam-Fai Wong · 2025
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