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To address the above challenge, we propose a novel Edge-guided Transformer framework (EdiTor) customized for ghost-free HDR reconstruction, where the long-range motions across different exposures can be delicately modeled by incorporating the edge prior. Specifically, EdiTor calculates patch-wise correlation maps on both image and edge domains, enabling the network to effectively model the global movements and the fine-grained shifts across multiple exposures. Based on this framework, we further propose an exposure-masked loss to adaptively compensate for the severely distorted regions (e.g., highlights and shadows). Experiments demonstrate that EdiTor outperforms state-of-the-art methods both quantitatively and qualitatively, achieving appealing HDR visualization with unified textures and colors.<\/jats:p>","DOI":"10.1145\/3657293","type":"journal-article","created":{"date-parts":[[2024,4,27]],"date-time":"2024-04-27T05:28:01Z","timestamp":1714195681000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["EdiTor: Edge-guided Transformer for Ghost-free High Dynamic Range Imaging"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3468-1417","authenticated-orcid":false,"given":"Yuanshen","family":"Guan","sequence":"first","affiliation":[{"name":"University of Science and Technology of China","place":["Hefei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6662-3671","authenticated-orcid":false,"given":"Ruikang","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China","place":["Hefei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5994-6288","authenticated-orcid":false,"given":"Mingde","family":"Yao","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China","place":["Hefei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3518-3404","authenticated-orcid":false,"given":"Jie","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China","place":["Hefei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9787-7460","authenticated-orcid":false,"given":"Zhiwei","family":"Xiong","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China","place":["Hefei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,9,10]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0390-2"},{"key":"e_1_3_2_3_2","volume-title":"Proceedings of the International Conference on Pattern Recognition (ICPR\u201900)","author":"Bogoni Luca","year":"2000","unstructured":"Luca Bogoni. 2000. 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