{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:43:42Z","timestamp":1750308222910,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T00:00:00Z","timestamp":1717977600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,10]]},"DOI":"10.1145\/3643490.3661808","type":"proceedings-article","created":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T17:42:43Z","timestamp":1715967763000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Revisit MTN: High-resolution Features Deserve More Attention"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4023-0371","authenticated-orcid":false,"given":"Ka Man","family":"Lo","sequence":"first","affiliation":[{"name":"University of Macau, Macao, Macao SAR"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond. arXiv preprint arXiv:2304.04968","author":"Armandpour Mohammadreza","year":"2023","unstructured":"Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, and Mingyuan Zhou. 2023. Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond. arXiv preprint arXiv:2304.04968 (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Available: https:github.com\/deep-floyd\/IF","author":"Konstantinov M.","year":"2023","unstructured":"M. Konstantinov. 2023. Deepfloyd-if. [Online]. Available: https:github.com\/deep-floyd\/IF (2023)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00037"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01218"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550469.3555392"},{"key":"e_1_3_2_1_6_1","volume-title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis. arXiv preprint arXiv:2307.01952","author":"Podell Dustin","year":"2023","unstructured":"Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas M\u00fcller, Joe Penna, and Robin Rombach. 2023. Sdxl: Improving latent diffusion models for high-resolution image synthesis. arXiv preprint arXiv:2307.01952 (2023)."},{"key":"e_1_3_2_1_7_1","volume-title":"Dreamfusion: Text-to-3d using 2d diffusion. arXiv preprint arXiv:2209.14988","author":"Poole Ben","year":"2022","unstructured":"Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022. Dreamfusion: Text-to-3d using 2d diffusion. arXiv preprint arXiv:2209.14988 (2022)."},{"key":"e_1_3_2_1_8_1","volume-title":"International conference on machine learning. PMLR, 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PMLR, 8748--8763."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01214"},{"key":"e_1_3_2_1_11_1","volume-title":"Progressive Text-to-3D Generation for Automatic 3D Prototyping. arXiv preprint arXiv:2309.14600","author":"Yi Han","year":"2023","unstructured":"Han Yi, Zhedong Zheng, Xiangyu Xu, and Tat-seng Chua. 2023. Progressive Text-to-3D Generation for Automatic 3D Prototyping. arXiv preprint arXiv:2309.14600 (2023)."}],"event":{"name":"MORE '24: 1st ICMR Workshop on Multimedia Object Re-Identification","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Phuket Thailand","acronym":"MORE '24"},"container-title":["Proceedings of the 1st ICMR Workshop on Multimedia Object Re-Identification"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3643490.3661808","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T16:31:23Z","timestamp":1750264283000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3643490.3661808"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,10]]},"references-count":11,"alternative-id":["10.1145\/3643490.3661808","10.1145\/3643490"],"URL":"https:\/\/doi.org\/10.1145\/3643490.3661808","relation":{},"subject":[],"published":{"date-parts":[[2024,6,10]]},"assertion":[{"value":"2024-06-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}