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AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea

Published in CVPR 2025, 2025

AnyEdit, a comprehensive multi-modal instruction editing dataset, comprising 2.5 million high-quality editing pairs spanning over 20 editing types and five domains.

Recommended citation: Q. Yu, W. Chow, Z. Yue, K. Pan, Y. Wu, X. Wan, J. Li, S. Tang, H. Zhang, and Y. Zhuang, “AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea,” in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), 2025.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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