{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T15:48:51Z","timestamp":1776440931324,"version":"3.51.2"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Key Program of the National Natural Science Foundation of China Joint Fund","doi-asserted-by":"publisher","award":["U23A20383"],"award-info":[{"award-number":["U23A20383"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1109\/tcyb.2025.3576752","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T13:34:59Z","timestamp":1750772099000},"page":"3686-3698","source":"Crossref","is-referenced-by-count":1,"title":["NADM: Noise-Aware Diffusion Model for Landscape Painting Video Generation"],"prefix":"10.1109","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4852-448X","authenticated-orcid":false,"given":"Ding-Ming","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3840-4282","authenticated-orcid":false,"given":"Shao-Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruo-Yan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Hong Kong, Kowloon Tong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6504-8080","authenticated-orcid":false,"given":"Li-Li","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5497-3035","authenticated-orcid":false,"given":"Yong-Guan","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3113-3067","authenticated-orcid":false,"given":"Yuan-Ze","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5970-7698","authenticated-orcid":false,"given":"Xiang","family":"Chang","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Physics, and Computer Science, Aberystwyth University, Aberystwyth, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li-Jiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian-Shuo","family":"Xu","sequence":"additional","affiliation":[{"name":"AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6928-2638","authenticated-orcid":false,"given":"Fei","family":"Chao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Hong Kong, Kowloon Tong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6375-6276","authenticated-orcid":false,"given":"Changjing","family":"Shang","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Physics, and Computer Science, Aberystwyth University, Aberystwyth, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9333-4605","authenticated-orcid":false,"given":"Qiang","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Physics, and Computer Science, Aberystwyth University, Aberystwyth, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2535122"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2585764"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547925"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00391"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/a11010004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3355088.3365148"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00362"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00654"},{"key":"ref9","first-page":"4039","article-title":"Move and act: Enhanced object manipulation and background integrity for image editing","volume-title":"Proc. AAAI Conf. Artif. Intell. (AAAI)","author":"Jiang"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2307\/40263708"},{"issue":"9","key":"ref11","first-page":"199","article-title":"Chinese landscape painting","volume":"41","author":"Lee","year":"1954","journal-title":"Bull. Clevel. Museum Art"},{"key":"ref12","article-title":"Latent-shift: Latent diffusion with temporal shift for efficient text-to-video generation","author":"An","year":"2023","journal-title":"arXiv:2304.08477"},{"key":"ref13","first-page":"1","article-title":"Make-a-video: Text-to-video generation without text-video data","volume-title":"Proc. 11th Int. Conf. Learn. Represent. (ICLR)","author":"Singer"},{"key":"ref14","first-page":"1","article-title":"VideoFactory: Swap attention in spatiotemporal diffusions for text-to-video generation","volume-title":"Proc. ICLR","author":"Wang"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3365804"},{"key":"ref16","article-title":"MagicVideo: Efficient video generation with latent diffusion models","author":"Zhou","year":"2023","journal-title":"arXiv:2211.11018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612406"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612405"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111795"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73001-6_9"},{"key":"ref21","article-title":"Pyramidal flow matching for efficient video generative modeling","author":"Jin","year":"2025","journal-title":"arXiv:2410.05954"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2025.3558507"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00616"},{"key":"ref24","article-title":"AnimateDiff: Animate your Personalized text-to-image diffusion models without specific tuning","author":"Guo","year":"2024","journal-title":"arXiv:2307.04725"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","article-title":"Generating long sequences with sparse transformers","author":"Child","year":"2019","journal-title":"arXiv:1904.10509"},{"key":"ref27","article-title":"Prompt-to-prompt image editing with cross attention control","author":"Hertz","year":"2022","journal-title":"arXiv:2208.01626"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28206"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123309"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3127905"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.159"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_37"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350986"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110990"},{"key":"ref35","article-title":"TokenFlow: Consistent diffusion features for consistent video editing","author":"Geyer","year":"2023","journal-title":"arXiv:2307.10373"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01460"},{"key":"ref37","article-title":"LAMP: Learn a motion pattern for few-shot-based video generation","author":"Wu","year":"2023","journal-title":"arXiv:2310.10769"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3362475"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3124913"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/696"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2019.00136"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3324497"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2023.113856"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref45","article-title":"Diffusion models beat GANs on image synthesis","author":"Dhariwal","year":"2021","journal-title":"arXiv:2105.05233"},{"key":"ref46","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref48","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. 9th Int. Conf. Learn. Represent. (ICLR)","author":"Song"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3575295"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3224577"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.3036069"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2418317"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17274"},{"key":"ref55","article-title":"Data augmentation of contrastive learning is estimating positive-incentive noise","author":"Zhang","year":"2024","journal-title":"arXiv:2408.09929"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01427"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19781-9_36"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73414-4_20"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"ref60","article-title":"AnimateLCM: Accelerating the animation of Personalized diffusion models and adapters with decoupled consistency learning","author":"Wang","year":"2024","journal-title":"arxiv:2402.00769"},{"key":"ref61","volume-title":"Gen-2 by Runway\u2014Research","year":"2024"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01462"},{"key":"ref63","article-title":"Pika\u2014Pika.art","volume-title":"Pika Labs","year":"2024"},{"key":"ref64","article-title":"AnimateDiff-lightning: Cross-model diffusion distillation","author":"Lin","year":"2024","journal-title":"arXiv:2403.12706"},{"key":"ref65","volume-title":"Text-to-video-synthesis model in open domain","year":"2024"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02295-1"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00675"},{"key":"ref68","article-title":"Towards accurate generative models of video: A new metric & challenges","author":"Unterthiner","year":"2022","journal-title":"arXiv:1812.01717"},{"key":"ref69","article-title":"Generating videos with dynamics-aware implicit generative adversarial networks","author":"Yu","year":"2022","journal-title":"arXiv:2202.10571"},{"key":"ref70","volume-title":"The best GPUs for deep learning in 2023\u2014An in-depth analysis","author":"Dettmers","year":"2023"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221036\/11095871\/11049029.pdf?arnumber=11049029","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T06:27:08Z","timestamp":1753511228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11049029\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":70,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2025.3576752","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}