{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:07:19Z","timestamp":1783573639884,"version":"3.55.0"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100013317","name":"Shanxi Provincial Key Research and Development Project","doi-asserted-by":"publisher","award":["202502020102029"],"award-info":[{"award-number":["202502020102029"]}],"id":[{"id":"10.13039\/501100013317","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013317","name":"Shanxi Provincial Key Research and Development Project","doi-asserted-by":"publisher","award":["202402140601017"],"award-info":[{"award-number":["202402140601017"]}],"id":[{"id":"10.13039\/501100013317","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers & Graphics"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.cag.2026.104633","type":"journal-article","created":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T16:06:00Z","timestamp":1779725160000},"page":"104633","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["DABMambaII: Dynamic Adaptive Bidirectional Mamba-UNet for Image Inpainting"],"prefix":"10.1016","volume":"138","author":[{"given":"Jinglin","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feimo","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9738-1310","authenticated-orcid":false,"given":"Hongxia","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cag.2026.104633_b1","series-title":"2019 IEEECVF conf. comput. vis. pattern recognit.","first-page":"1486","article-title":"Learning pyramid-context encoder network for high-quality image inpainting","author":"Zeng","year":"2019"},{"key":"10.1016\/j.cag.2026.104633_b2","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"2747","article-title":"Bringing old photos back to life","author":"Wan","year":"2020"},{"key":"10.1016\/j.cag.2026.104633_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.cag.2025.104266","article-title":"Mural image restoration with spatial geometric perception and progressive context refinement","volume":"130","author":"Zhou","year":"2025","journal-title":"Comput Graph"},{"key":"10.1016\/j.cag.2026.104633_b4","series-title":"Proc. 27th annu. conf. comput. graph.interact. tech. - SIGGRAPH \u201900","first-page":"417","article-title":"Image inpainting","author":"Bertalmio","year":"2000"},{"key":"10.1016\/j.cag.2026.104633_b5","series-title":"Proc. 28th annu. conf. comput. graph. interact. tech","first-page":"341","article-title":"Image quilting for texture synthesis and transfer","author":"Efros","year":"2001"},{"key":"10.1016\/j.cag.2026.104633_b6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1531326.1531330","article-title":"PatchMatch: a randomized correspondence algorithm for structural image editing","volume":"28","author":"Barnes","year":"2009","journal-title":"ACM Trans Graph"},{"key":"10.1016\/j.cag.2026.104633_b7","first-page":"1809","article-title":"Exemplar-based inpainting: Technical review and new heuristics for better geometric reconstructions","volume":"24","author":"Buyssens","year":"2015","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.cag.2026.104633_b8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2185520.2185578","article-title":"Image melding: Combining inconsistent images using patch-based synthesis","volume":"31","author":"Darabi","year":"2012","journal-title":"ACM Trans Graph"},{"key":"10.1016\/j.cag.2026.104633_b9","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1109\/TIP.2018.2880681","article-title":"Image inpainting using nonlocal texture matching and nonlinear filtering","volume":"28","author":"Ding","year":"2019","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.cag.2026.104633_b10","series-title":"2016 IEEE conf. comput. vis. pattern recognit.","first-page":"2536","article-title":"Context encoders: Feature learning by inpainting","author":"Pathak","year":"2016"},{"key":"10.1016\/j.cag.2026.104633_b11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3072959.3073659","article-title":"Globally and locally consistent image completion","volume":"36","author":"Iizuka","year":"2017","journal-title":"ACM Trans Graph"},{"key":"10.1016\/j.cag.2026.104633_b12","series-title":"Computer vision \u2013 ECCV 2018","first-page":"89","article-title":"Image inpainting for irregular holes using partial convolutions","author":"Liu","year":"2018"},{"key":"10.1016\/j.cag.2026.104633_b13","series-title":"Eur. conf. comput. vis.","first-page":"683","article-title":"Guidance and evaluation: semantic-aware image inpainting for mixed scenes","author":"Liao","year":"2020"},{"key":"10.1016\/j.cag.2026.104633_b14","first-page":"3888","article-title":"Generative image inpainting with segmentation confusion adversarial training and contrastive learning","volume":"37","author":"Zuo","year":"2023","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"10.1016\/j.cag.2026.104633_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.displa.2024.102945","article-title":"An image inpainting model based on channel attention gated convolution and multi-level attention mechanism","volume":"87","author":"Zhao","year":"2025","journal-title":"Displays"},{"key":"10.1016\/j.cag.2026.104633_b16","series-title":"Mamba: linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023"},{"key":"10.1016\/j.cag.2026.104633_b17","series-title":"2019 IEEECVF int. conf. comput. vis.","first-page":"4470","article-title":"Free-form image inpainting with gated convolution","author":"Yu","year":"2019"},{"key":"10.1016\/j.cag.2026.104633_b18","doi-asserted-by":"crossref","first-page":"1784","DOI":"10.1109\/TIP.2020.3048629","article-title":"Dynamic selection network for image inpainting","author":"Wang","year":"2021","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.cag.2026.104633_b19","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"7794","article-title":"Non-local neural networks","author":"Wang","year":"2018"},{"key":"10.1016\/j.cag.2026.104633_b20","series-title":"2021 IEEECVF int. conf. comput. vis. workshop ICCVW","first-page":"1833","article-title":"SwinIR: Image restoration using swin transformer","author":"Liang","year":"2021"},{"key":"10.1016\/j.cag.2026.104633_b21","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"5728","article-title":"Restormer: Efficient transformer for high-resolution image restoration","author":"Zamir","year":"2022"},{"key":"10.1016\/j.cag.2026.104633_b22","series-title":"A survey on structured state space sequence (s4) models","author":"Somvanshi","year":"2025"},{"key":"10.1016\/j.cag.2026.104633_b23","series-title":"European conference on computer vision","first-page":"222","article-title":"Mambair: A simple baseline for image restoration with state-space model","author":"Guo","year":"2024"},{"key":"10.1016\/j.cag.2026.104633_b24","series-title":"2025 IEEECVF conf. comput. vis. pattern recognit.","first-page":"28124","article-title":"MambaIRv2: Attentive state space restoration","author":"Guo","year":"2025"},{"key":"10.1016\/j.cag.2026.104633_b25","series-title":"An image is worth 16x16 words: transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"10.1016\/j.cag.2026.104633_b26","series-title":"2024 IEEECVF conf. comput. vis. pattern recognit. workshop CVPRW","first-page":"6536","article-title":"DVMSR: Distillated vision mamba for efficient super-resolution","author":"Lei","year":"2024"},{"key":"10.1016\/j.cag.2026.104633_b27","series-title":"Proc. 32nd ACM int. conf. multimed.","first-page":"1905","article-title":"FreqMamba: Viewing mamba from a frequency perspective for image deraining","author":"Zou","year":"2024"},{"key":"10.1016\/j.cag.2026.104633_b28","series-title":"Spectral normalization for generative adversarial networks","author":"Miyato","year":"2018"},{"key":"10.1016\/j.cag.2026.104633_b29","series-title":"Transformers are ssms: Generalized models and efficient algorithms through structured state space duality","author":"Dao","year":"2024"},{"key":"10.1016\/j.cag.2026.104633_b30","series-title":"Proceedings of the IEEE international conference on computer vision","first-page":"2794","article-title":"Least squares generative adversarial networks","author":"Mao","year":"2017"},{"key":"10.1016\/j.cag.2026.104633_b31","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"2414","article-title":"Image style transfer using convolutional neural networks","author":"Gatys","year":"2016"},{"key":"10.1016\/j.cag.2026.104633_b32","series-title":"European conference on computer vision","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"Johnson","year":"2016"},{"key":"10.1016\/j.cag.2026.104633_b33","series-title":"2018 IEEECVF conf. comput. vis. pattern recognit","first-page":"5505","article-title":"Generative image inpainting with contextual attention","author":"Yu","year":"2018"},{"key":"10.1016\/j.cag.2026.104633_b34","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"7760","article-title":"Recurrent feature reasoning for image inpainting","author":"Li","year":"2020"},{"key":"10.1016\/j.cag.2026.104633_b35","doi-asserted-by":"crossref","first-page":"4855","DOI":"10.1109\/TIP.2021.3076310","article-title":"Image inpainting by end-to-end cascaded refinement with mask awareness","volume":"30","author":"Zhu","year":"2021","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.cag.2026.104633_b36","series-title":"Proceedings of the international conference on learning representations","first-page":"1","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"Karras","year":"2018"},{"key":"10.1016\/j.cag.2026.104633_b37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2185520.2185597","article-title":"What makes Paris look like Paris?","volume":"31","author":"Doersch","year":"2012","journal-title":"ACM Trans Graph"},{"key":"10.1016\/j.cag.2026.104633_b38","series-title":"Dunhuang grottoes painting dataset and benchmark","author":"Yu","year":"2019"},{"key":"10.1016\/j.cag.2026.104633_b39","series-title":"2021 IEEECVF int. conf. comput. vis.","first-page":"14114","article-title":"Image inpainting via conditional texture and structure dual generation","author":"Guo","year":"2021"},{"key":"10.1016\/j.cag.2026.104633_b40","series-title":"2023 IEEECVF int. conf. comput. vis.","first-page":"13123","article-title":"Continuously masked transformer for image inpainting","author":"Ko","year":"2023"},{"key":"10.1016\/j.cag.2026.104633_b41","series-title":"2024 IEEECVF conf. comput. vis. pattern recognit.","first-page":"8038","article-title":"Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting","author":"Liu","year":"2024"},{"key":"10.1016\/j.cag.2026.104633_b42","doi-asserted-by":"crossref","first-page":"7649","DOI":"10.1109\/TMM.2024.3369897","article-title":"HINT: High-quality inpainting transformer with mask-aware encoding and enhanced attention","volume":"26","author":"Chen","year":"2024","journal-title":"IEEE Trans Multimed"},{"key":"10.1016\/j.cag.2026.104633_b43","series-title":"Proceedings of the computer vision and pattern recognition conference","first-page":"2439","article-title":"Rad: Region-aware diffusion models for image inpainting","author":"Kim","year":"2025"},{"key":"10.1016\/j.cag.2026.104633_b44","doi-asserted-by":"crossref","DOI":"10.1016\/j.cag.2024.104010","article-title":"From past to present: A tertiary investigation of twenty-four years of image inpainting","volume":"123","author":"Barcelos","year":"2024","journal-title":"Comput Graph"},{"key":"10.1016\/j.cag.2026.104633_b45","series-title":"Open logo detection challenge","author":"Su","year":"2018"}],"container-title":["Computers & Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0097849326001044?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0097849326001044?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T23:57:02Z","timestamp":1783036622000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0097849326001044"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":45,"alternative-id":["S0097849326001044"],"URL":"https:\/\/doi.org\/10.1016\/j.cag.2026.104633","relation":{},"ISSN":["0097-8493"],"issn-type":[{"value":"0097-8493","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DABMambaII: Dynamic Adaptive Bidirectional Mamba-UNet for Image Inpainting","name":"articletitle","label":"Article Title"},{"value":"Computers & Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cag.2026.104633","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104633"}}