SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

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Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022

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Prompt-to-prompt image editing with cross attention control

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OpenAI · 2022

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Instructpix2pix: Learning to follow image editing instructions

Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023

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Emu edit: Precise image editing via recognition and generation tasks

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Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, and Yaniv Taigman · 2023

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Guiding instruction-based image editing via multimodal large language models

Original

Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, and Zhe Gan · 2023

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Unsplash

Zahid Ali, Chesser Luke, and Carbone Timothy · 2023

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Plug-and-play diffusion features for text-driven image-to-image translation

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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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Hq-edit: A high-quality dataset for instruction-based image editing

Original

Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, and Cihang Xie · 2024

Closest in time.

Seed-x: Multimodal models with unified multi-granularity comprehension and generation

Original

Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, and Ying Shan · 2024

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