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We build on the RGB\u2194X diffusion framework and address its key deficiencies: the lack of identity preservation and the need to update multiple channels to achieve plausible results. We propose an edit-friendly diffusion inversion and prompt-embedding optimization to enable precise and efficient editing of only the relevant channels. Our method achieves identity preservation and resolves global illumination, without requiring task-specific model fine-tuning. We demonstrate state-of-the-art performance across a variety of tasks on complex images, including material adjustments, object insertion and removal, global relighting, and their combinations.<\/jats:p>","DOI":"10.1145\/3731173","type":"journal-article","created":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T04:02:22Z","timestamp":1753588942000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["IntrinsicEdit: Precise generative image manipulation in intrinsic space"],"prefix":"10.1145","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4763-8457","authenticated-orcid":false,"given":"Linjie","family":"Lyu","sequence":"first","affiliation":[{"name":"Max-Planck-Institute for Informatics &amp; Saarland Informatics Campus, Saarbr\u00fccken, Germany"},{"name":"Adobe Research, London, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6219-3747","authenticated-orcid":false,"given":"Valentin","family":"Deschaintre","sequence":"additional","affiliation":[{"name":"Adobe Research, London, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1060-6941","authenticated-orcid":false,"given":"Yannick","family":"Hold-Geoffroy","sequence":"additional","affiliation":[{"name":"Adobe Research, Quebec, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3808-6092","authenticated-orcid":false,"given":"Milo\u0161","family":"Ha\u0161an","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0181-4869","authenticated-orcid":false,"given":"Jae Shin","family":"Yoon","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7784-7957","authenticated-orcid":false,"given":"Thomas","family":"Leimk\u00fchler","sequence":"additional","affiliation":[{"name":"Max-Planck-Institute for Informatics &amp; Saarland Informatics Campus, Saarbr\u00fccken, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6104-6625","authenticated-orcid":false,"given":"Christian","family":"Theobalt","sequence":"additional","affiliation":[{"name":"Max-Planck-Institute for Informatics &amp; Saarland Informatics Campus, Saarbr\u00fccken, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9655-2138","authenticated-orcid":false,"given":"Iliyan","family":"Georgiev","sequence":"additional","affiliation":[{"name":"Adobe Research, London, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00453"},{"key":"e_1_2_2_2_1","unstructured":"Adobe Inc. 2024. 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