{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:29:55Z","timestamp":1777570195606,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"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":[[2024,10,28]]},"DOI":"10.1145\/3664647.3680937","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:41Z","timestamp":1729925981000},"page":"1283-1291","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["MLP Embedded Inverse Tone Mapping"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2273-6509","authenticated-orcid":false,"given":"Panjun","family":"Liu","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4215-6754","authenticated-orcid":false,"given":"Jiacheng","family":"Li","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1953-3339","authenticated-orcid":false,"given":"Lizhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2510-8993","authenticated-orcid":false,"given":"Zheng-Jun","family":"Zha","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"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, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-007-0124-9"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2016.12.006"},{"key":"e_1_3_2_1_3_1","volume-title":"Parameter values for the HDTV standards for production and international programme exchange","author":"ITU-R","year":"2002","unstructured":"ITU-R Recommendation BT. 2002. Parameter values for the HDTV standards for production and international programme exchange. International Telecommunication Union, Recommendation, May (2002)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00045"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00446"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_12"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2815149"},{"key":"e_1_3_2_1_8_1","volume-title":"International conference on machine learning. PMLR, 1126--1135","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic metalearning for fast adaptation of deep networks. In International conference on machine learning. PMLR, 1126--1135."},{"key":"e_1_3_2_1_9_1","volume-title":"EdiTor: Edge-guided Transformer for Ghost-free High Dynamic Range Imaging. ACM Transactions on Multimedia Computing, Communications and Applications","author":"Guan Yuanshen","year":"2024","unstructured":"Yuanshen Guan, Ruikang Xu, Mingde Yao, Jie Huang, and Zhiwei Xiong. 2024. EdiTor: Edge-guided Transformer for Ghost-free High Dynamic Range Imaging. ACM Transactions on Multimedia Computing, Communications and Applications (2024)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612261"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02129"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3311849"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612199"},{"key":"e_1_3_2_1_14_1","volume-title":"Objective metric for the assessment of the potential visibility of colour differences in television (0 ed.)","author":"ITU","unstructured":"ITU 2019. Objective metric for the assessment of the potential visibility of colour differences in television (0 ed.). ITU, Geneva, Switzerland."},{"key":"e_1_3_2_1_15_1","volume-title":"High Dynamic Range Television for Production and International Programme Exchange. ITU-R Rec BT.2390-8","author":"ITU-R.","year":"2020","unstructured":"ITU-R. 2020. High Dynamic Range Television for Production and International Programme Exchange. ITU-R Rec BT.2390-8 (2020)."},{"key":"e_1_3_2_1_16_1","volume-title":"Computer Vision-ACCV 2018: 14th Asian Conference on Computer Vision","author":"Kim Soo Ye","year":"2018","unstructured":"Soo Ye Kim and Munchurl Kim. 2019. A multi-purpose convolutional neural network for simultaneous super-resolution and high dynamic range image reconstruction. In Computer Vision-ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part III 14. Springer, 379--394."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00321"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6789"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2014.29"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01752"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01745"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108586"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456253"},{"key":"e_1_3_2_1_24_1","volume-title":"Picture Coding Symposium, PCS 2021","author":"Rafal","year":"2021","unstructured":"Rafal K. Mantiuk and Maryam Azimi. 2021. PU21: A novel perceptually uniform encoding for adapting existing quality metrics for HDR. In Picture Coding Symposium, PCS 2021, Bristol, United Kingdom, June 29 - July 2, 2021. IEEE, 1--5."},{"key":"e_1_3_2_1_25_1","volume-title":"HDR-VDP-3: A multimetric for predicting image differences, quality and contrast distortions in high dynamic range and regular content. CoRR abs\/2304.13625","author":"Mantiuk Rafal K.","year":"2023","unstructured":"Rafal K. Mantiuk, Dounia Hammou, and Param Hanji. 2023. HDR-VDP-3: A multimetric for predicting image differences, quality and contrast distortions in high dynamic range and regular content. CoRR abs\/2304.13625 (2023). arXiv:2304.13625"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/3048137.3048181"},{"key":"e_1_3_2_1_27_1","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022","author":"Nam Seonghyeon","year":"2022","unstructured":"Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, and Michael S. Brown. 2022. Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. IEEE, 17683--17692."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.183"},{"key":"e_1_3_2_1_29_1","volume-title":"On First-Order Meta-Learning Algorithms. CoRR abs\/1803.02999","author":"Nichol Alex","year":"2018","unstructured":"Alex Nichol, Joshua Achiam, and John Schulman. 2018. On First-Order Meta-Learning Algorithms. CoRR abs\/1803.02999 (2018). arXiv:1803.02999 http:\/\/arxiv. org\/abs\/1803.02999"},{"key":"e_1_3_2_1_30_1","volume-title":"Spatially Aware Metadata for Raw Reconstruction. In IEEE Winter Conference on Applications of Computer Vision, WACV 2021","author":"Punnappurath Abhijith","year":"2021","unstructured":"Abhijith Punnappurath and Michael S. Brown. 2021. Spatially Aware Metadata for Raw Reconstruction. In IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021. IEEE, 218--226."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276426"},{"key":"e_1_3_2_1_32_1","volume-title":"Meta-learning for semi-supervised few-shot classification. arXiv preprint arXiv:1803.00676","author":"Ren Mengye","year":"2018","unstructured":"Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B Tenenbaum, Hugo Larochelle, and Richard S Zemel. 2018. Meta-learning for semi-supervised few-shot classification. arXiv preprint arXiv:1803.00676 (2018)."},{"key":"e_1_3_2_1_33_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In Medical image computing and computer-assisted intervention--MICCAI 2015: 18th international conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In Medical image computing and computer-assisted intervention--MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18. Springer, 234--241."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00108"},{"key":"e_1_3_2_1_35_1","volume-title":"Colorimetry: understanding the CIE system","author":"Schanda J\u00e1nos","unstructured":"J\u00e1nos Schanda. 2007. Colorimetry: understanding the CIE system. John Wiley & Sons."},{"key":"e_1_3_2_1_36_1","first-page":"1","article-title":"Parameter values for ultra-high definition television systems for production and international programme exchange. In Proc. ITU-T","volume":"2020","author":"Series BT","year":"2012","unstructured":"BT Series. 2012. Parameter values for ultra-high definition television systems for production and international programme exchange. In Proc. ITU-T, Bt. 2020. 1--7.","journal-title":"Bt."},{"key":"e_1_3_2_1_37_1","unstructured":"BT Series. 2019. Guidance for operational practices in HDR television production. (2019)."},{"key":"e_1_3_2_1_38_1","unstructured":"BT Series. 2019. Methods for conversion of high dynamic range content to standard dynamic range content and vice-versa. (2019)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"e_1_3_2_1_40_1","first-page":"2014","volume-title":"SMPTE ST 2084","author":"Standard SMPTE","year":"2014","unstructured":"SMPTE Standard. 2014. High dynamic range electro-optical transfer function of mastering reference displays. SMPTE ST 2084, 2014 (2014), 11."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450508.3464600"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00632"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01002"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548016"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3239656"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2346028"},{"key":"e_1_3_2_1_49_1","volume-title":"FSIM: A feature similarity index for image quality assessment","author":"Zhang Lin","year":"2011","unstructured":"Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang. 2011. FSIM: A feature similarity index for image quality assessment. IEEE transactions on Image Processing 20, 8 (2011), 2378--2386."}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","location":"Melbourne VIC Australia","acronym":"MM '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3680937","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3680937","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:34Z","timestamp":1750295854000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3680937"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":49,"alternative-id":["10.1145\/3664647.3680937","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3680937","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}