{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T17:40:56Z","timestamp":1770918056662,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":80,"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\/3664647.3681357","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:49Z","timestamp":1729925989000},"page":"2409-2418","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Asymmetric Event-Guided Video Super-Resolution"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9171-9234","authenticated-orcid":false,"given":"Zeyu","family":"Xiao","sequence":"first","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6308-5320","authenticated-orcid":false,"given":"Dachun","family":"Kai","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0788-8826","authenticated-orcid":false,"given":"Yueyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3638-5566","authenticated-orcid":false,"given":"Xiaoyan","family":"Sun","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9787-7460","authenticated-orcid":false,"given":"Zhiwei","family":"Xiong","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12359"},{"key":"e_1_3_2_1_2_1","unstructured":"Philip Lenz Andreas Geiger and Raquel Urtasun. 2012. Are we ready for autonomous driving? The KITTI vision benchmark suite. In CVPR."},{"key":"e_1_3_2_1_3_1","volume-title":"Video Super-Resolution Transformer. arXiv preprint arXiv:2106.06847","author":"Cao Jiezhang","year":"2021","unstructured":"Jiezhang Cao, Yawei Li, Kai Zhang, and Luc Van Gool. 2021. Video Super-Resolution Transformer. arXiv preprint arXiv:2106.06847 (2021)."},{"key":"e_1_3_2_1_4_1","unstructured":"Jiezhang Cao Jingyun Liang Kai Zhang Yawei Li Yulun Zhang Wenguan Wang and Luc Van Gool. 2022. Reference-based Image Super-Resolution with Deformable Attention Transformer. In ECCV."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Jiezhang Cao Jingyun Liang Kai Zhang Wenguan Wang Qin Wang Yulun Zhang Hao Tang and Luc Van Gool. 2022. Towards interpretable video super-resolution via alternating optimization. In ECCV. 393--411.","DOI":"10.1007\/978-3-031-19797-0_23"},{"key":"e_1_3_2_1_6_1","volume-title":"Basicvsr: The search for essential components in video super-resolution and beyond. In CVPR. 4947--4956.","author":"Chan Kelvin CK","year":"2021","unstructured":"Kelvin CK Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy. 2021. Basicvsr: The search for essential components in video super-resolution and beyond. In CVPR. 4947--4956."},{"key":"e_1_3_2_1_7_1","unstructured":"Kelvin CK Chan Shangchen Zhou Xiangyu Xu and Chen Change Loy. 2022. BasicVSR: Improving video super-resolution with enhanced propagation and alignment. In CVPR. 5972--5981."},{"key":"e_1_3_2_1_8_1","volume-title":"Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E Kahou, Julien Cornebise, and Yoshua Bengio.","author":"Deudon Michel","year":"2020","unstructured":"Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E Kahou, Julien Cornebise, and Yoshua Bengio. 2020. Highres-net: Recursive fusion for multi-frame super-resolution of satellite imagery. arXiv preprint arXiv:2002.06460 (2020)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Xin Ding Tsuyoshi Takatani Zhongyuan Wang Ying Fu and Yinqiang Zheng. 2022. Event-guided Video Clip Generation from Blurry Images. In ACM MM. 2672--2680.","DOI":"10.1145\/3503161.3548142"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Julius Erbach Stepan Tulyakov Patricia Vitoria Alfredo Bochicchio and Yuanyou Li. 2023. EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction. In CVPR. 13904--13913.","DOI":"10.1109\/CVPR52729.2023.01336"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3068942"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Tomio Goto Takafumi Fukuoka Fumiya Nagashima Satoshi Hirano and Masaru Sakurai. 2014. Super-resolution System for 4K-HDTV. In ICCV. 4453--4458.","DOI":"10.1109\/ICPR.2014.762"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Muhammad Haris Gregory Shakhnarovich and Norimichi Ukita. 2019. Recurrent back-projection network for video super-resolution. In CVPR. 3897--3906.","DOI":"10.1109\/CVPR.2019.00402"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Zhewei Huang Tianyuan Zhang Wen Heng Boxin Shi and Shuchang Zhou. 2022. Real-time intermediate flow estimation for video frame interpolation. In ECCV. 624--642.","DOI":"10.1007\/978-3-031-19781-9_36"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Takashi Isobe Xu Jia Shuhang Gu Songjiang Li Shengjin Wang and Qi Tian. 2020. Video super-resolution with recurrent structure-detail network. In ECCV. 645--660.","DOI":"10.1007\/978-3-030-58610-2_38"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Takashi Isobe Xu Jia Xin Tao Changlin Li Ruihuang Li Yongjie Shi Jing Mu Huchuan Lu and Yu-Wing Tai. 2022. Look back and forth: Video super-resolution with explicit temporal difference modeling. In CVPR. 17411--17420.","DOI":"10.1109\/CVPR52688.2022.01689"},{"key":"e_1_3_2_1_17_1","volume-title":"Event-based Low-illumination Image Enhancement","author":"Jiang Yu","year":"2023","unstructured":"Yu Jiang, Yuehang Wang, Siqi Li, Yongji Zhang, Minghao Zhao, and Yue Gao. 2023. Event-based Low-illumination Image Enhancement. IEEE Transactions on Multimedia (2023)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Zhe Jiang Yu Zhang Dongqing Zou Jimmy Ren Jiancheng Lv and Yebin Liu. 2020. Learning event-based motion deblurring. In CVPR. 3320--3329.","DOI":"10.1109\/CVPR42600.2020.00338"},{"key":"e_1_3_2_1_19_1","unstructured":"Yongcheng Jing Yiding Yang Xinchao Wang Mingli Song and Dacheng Tao. 2021. Turning frequency to resolution: Video super-resolution via event cameras. In CVPR. 7772--7781."},{"key":"e_1_3_2_1_20_1","volume-title":"Jaeyeon Kang, and Seon Joo Kim.","author":"Jo Younghyun","year":"2018","unstructured":"Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, and Seon Joo Kim. 2018. Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation. In CVPR. 3224--3232."},{"key":"e_1_3_2_1_21_1","unstructured":"Dachun Kai Jiayao Lu Yueyi Zhang and Xiaoyan Sun. 2024. EvTexture: Event-driven Texture Enhancement for Video Super-Resolution. In ICML."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Dachun Kai Yueyi Zhang and Xiaoyan Sun. 2023. Video Super-Resolution Via Event-Driven Temporal Alignment. In ICIP. 2950--2954.","DOI":"10.1109\/ICIP49359.2023.10222922"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2532323"},{"key":"e_1_3_2_1_24_1","volume-title":"3DSRnet: Video super-resolution using 3d convolutional neural networks. arXiv preprint arXiv:1812.09079","author":"Kim Soo Ye","year":"2018","unstructured":"Soo Ye Kim, Jeongyeon Lim, Taeyoung Na, and Munchurl Kim. 2018. 3DSRnet: Video super-resolution using 3d convolutional neural networks. arXiv preprint arXiv:1812.09079 (2018)."},{"key":"e_1_3_2_1_25_1","volume-title":"Michael Hirsch, and Bernhard Scholkopf.","author":"Kim Tae Hyun","year":"2018","unstructured":"Tae Hyun Kim, Mehdi SM Sajjadi, Michael Hirsch, and Bernhard Scholkopf. 2018. Spatio-temporal transformer network for video restoration. In ECCV. 106--122."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3340561"},{"key":"e_1_3_2_1_27_1","unstructured":"Junyong Lee Myeonghee Lee Sunghyun Cho and Seungyong Lee. 2022. Reference-based video super-resolution using multi-camera video triplets. In CVPR. 17824--17833."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Fei Li Linfeng Zhang Zikun Liu Juan Lei and Zhenbo Li. 2023. Multi-frequency representation enhancement with privilege information for video super-resolution. In ICCV. 12814--12825.","DOI":"10.1109\/ICCV51070.2023.01177"},{"key":"e_1_3_2_1_29_1","unstructured":"Sheng Li Fengxiang He Bo Du Lefei Zhang Yonghao Xu and Dacheng Tao. 2019. Fast spatio-temporal residual network for video super-resolution. In CVPR. 10522--10531."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Wenyi Lian and Wenjing Lian. 2022. Sliding window recurrent network for efficient video super-resolution. In ECCV. 591--601.","DOI":"10.1007\/978-3-031-25063-7_37"},{"key":"e_1_3_2_1_31_1","volume-title":"Vrt: A video restoration transformer. arXiv preprint arXiv:2201.12288","author":"Liang Jingyun","year":"2022","unstructured":"Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, and Luc Van Gool. 2022. Vrt: A video restoration transformer. arXiv preprint arXiv:2201.12288 (2022)."},{"key":"e_1_3_2_1_32_1","volume-title":"Luc Van Gool, and Radu Timofte","author":"Liang Jingyun","year":"2021","unstructured":"Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte. 2021. Swinir: Image restoration using swin transformer. In ICCV. 1833--1844."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Guixu Lin Jin Han Mingdeng Cao Zhihang Zhong and Yinqiang Zheng. 2023. Event-guided Frame Interpolation and Dynamic Range Expansion of Single Rolling Shutter Image. In ACM MM. 3078--3088.","DOI":"10.1145\/3581783.3612093"},{"key":"e_1_3_2_1_34_1","unstructured":"Chengxu Liu Huan Yang Jianlong Fu and Xueming Qian. 2022. Learning Trajectory-Aware Transformer for Video Super-Resolution. In CVPR. 5687--5696."},{"key":"e_1_3_2_1_35_1","volume-title":"Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames. arXiv preprint arXiv:2306.15507","author":"Lu Yunfan","year":"2023","unstructured":"Yunfan Lu, Guoqiang Liang, and Lin Wang. 2023. Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames. arXiv preprint arXiv:2306.15507 (2023)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Yunfan Lu Zipeng Wang Minjie Liu Hongjian Wang and Lin Wang. 2023. Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution. In CVPR. 1557--1567.","DOI":"10.1109\/CVPR52729.2023.00156"},{"key":"e_1_3_2_1_37_1","volume-title":"Can SAM Boost Video Super-Resolution? arXiv preprint arXiv:2305.06524","author":"Lu Zhihe","year":"2023","unstructured":"Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, and Xinchao Wang. 2023. Can SAM Boost Video Super-Resolution? arXiv preprint arXiv:2305.06524 (2023)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2766204"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Moritz Menze and Andreas Geiger. 2015. Object scene flow for autonomous vehicles. In CVPR.","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Nico Messikommer Stamatios Georgoulis Daniel Gehrig Stepan Tulyakov Julius Erbach Alfredo Bochicchio Yuanyou Li and Davide Scaramuzza. 2022. Multi-bracket high dynamic range imaging with event cameras. In CVPR. 547--557.","DOI":"10.1109\/CVPRW56347.2022.00070"},{"key":"e_1_3_2_1_41_1","volume-title":"NTIRE 2019 challenge on video deblurring and super-resolution: Dataset and study. In CVPRW.","author":"Nah Seungjun","year":"2019","unstructured":"Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee. 2019. NTIRE 2019 challenge on video deblurring and super-resolution: Dataset and study. In CVPRW."},{"key":"e_1_3_2_1_42_1","volume-title":"Efi-net: Video frame interpolation from fusion of events and frames. In CVPR. 1291--1301.","author":"Paikin Genady","year":"2021","unstructured":"Genady Paikin, Yotam Ater, Roy Shaul, and Evgeny Soloveichik. 2021. Efi-net: Video frame interpolation from fusion of events and frames. In CVPR. 1291--1301."},{"key":"e_1_3_2_1_43_1","unstructured":"Zhongwei Qiu Huan Yang Jianlong Fu and Dongmei Fu. 2022. Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution. In ECCV."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Anurag Ranjan and Michael J Black. 2017. Optical flow estimation using a spatial pyramid network. In CVPR. 4161--4170.","DOI":"10.1109\/CVPR.2017.291"},{"key":"e_1_3_2_1_45_1","volume-title":"Conference on robot learning. PMLR, 969--982","author":"Rebecq Henri","year":"2018","unstructured":"Henri Rebecq, Daniel Gehrig, and Davide Scaramuzza. 2018. ESIM: an open event camera simulator. In Conference on robot learning. PMLR, 969--982."},{"key":"e_1_3_2_1_46_1","volume-title":"High speed and high dynamic range video with an event camera","author":"Rebecq Henri","year":"2019","unstructured":"Henri Rebecq, Ren\u00e9 Ranftl, Vladlen Koltun, and Davide Scaramuzza. 2019. High speed and high dynamic range video with an event camera. IEEE transactions on pattern analysis and machine intelligence, Vol. 43, 6 (2019), 1964--1980."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Viktor Rudnev Vladislav Golyanik Jiayi Wang Hans-Peter Seidel Franziska Mueller Mohamed Elgharib and Christian Theobalt. 2021. EventHands: Real-Time Neural 3D Hand Pose Estimation From an Event Stream. In ICCV. 12385--12395.","DOI":"10.1109\/ICCV48922.2021.01216"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Mehdi SM Sajjadi Raviteja Vemulapalli and Matthew Brown. 2018. Frame-recurrent video super-resolution. In CVPR. 6626--6634.","DOI":"10.1109\/CVPR.2018.00693"},{"key":"e_1_3_2_1_49_1","volume-title":"CED: Color event camera dataset. In CVPRW.","author":"Scheerlinck Cedric","year":"2019","unstructured":"Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert Mahony, and Davide Scaramuzza. 2019. CED: Color event camera dataset. In CVPRW."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Wei Shang Dongwei Ren Dongqing Zou Jimmy S Ren Ping Luo and Wangmeng Zuo. 2021. Bringing events into video deblurring with non-consecutively blurry frames. In ICCV. 4531--4540.","DOI":"10.1109\/ICCV48922.2021.00449"},{"key":"e_1_3_2_1_51_1","first-page":"36081","article-title":"Rethinking alignment in video super-resolution transformers","volume":"35","author":"Shi Shuwei","year":"2022","unstructured":"Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, and Chao Dong. 2022. Rethinking alignment in video super-resolution transformers. NeurlPS, Vol. 35 (2022), 36081--36093.","journal-title":"NeurlPS"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Lei Sun Christos Sakaridis Jingyun Liang Qi Jiang Kailun Yang Peng Sun Yaozu Ye Kaiwei Wang and Luc Van Gool. 2022. Event-based fusion for motion deblurring with cross-modal attention. In ECCV. 412--428.","DOI":"10.1007\/978-3-031-19797-0_24"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Lei Sun Christos Sakaridis Jingyun Liang Peng Sun Jiezhang Cao Kai Zhang Qi Jiang Kaiwei Wang and Luc Van Gool. 2023. Event-Based Frame Interpolation with Ad-hoc Deblurring. In CVPR. 18043--18052.","DOI":"10.1109\/CVPR52729.2023.01730"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28321"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Xin Tao Hongyun Gao Renjie Liao Jue Wang and Jiaya Jia. 2017. Detail-revealing deep video super-resolution. In ICCV. 4472--4480.","DOI":"10.1109\/ICCV.2017.479"},{"key":"e_1_3_2_1_56_1","volume-title":"Raft: Recurrent all-pairs field transforms for optical flow. In ECCV.","author":"Teed Zachary","year":"2020","unstructured":"Zachary Teed and Jia Deng. 2020. Raft: Recurrent all-pairs field transforms for optical flow. In ECCV."},{"key":"e_1_3_2_1_57_1","volume-title":"Tdan: Temporally-deformable alignment network for video super-resolution. In CVPR. 3360--3369.","author":"Tian Yapeng","year":"2020","unstructured":"Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu. 2020. Tdan: Temporally-deformable alignment network for video super-resolution. In CVPR. 3360--3369."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"crossref","unstructured":"Stepan Tulyakov Alfredo Bochicchio Daniel Gehrig Stamatios Georgoulis Yuanyou Li and Davide Scaramuzza. 2022. Time lens: Event-based frame interpolation with parametric non-linear flow and multi-scale fusion. In CVPR. 17755--17764.","DOI":"10.1109\/CVPR52688.2022.01723"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Stepan Tulyakov Daniel Gehrig Stamatios Georgoulis Julius Erbach Mathias Gehrig Yuanyou Li and Davide Scaramuzza. 2021. Time lens: Event-based video frame interpolation. In CVPR. 16155--16164.","DOI":"10.1109\/CVPR46437.2021.01589"},{"key":"e_1_3_2_1_60_1","volume-title":"Ke Yu, Chao Dong, and Chen Change Loy.","author":"Wang Xintao","year":"2019","unstructured":"Xintao Wang, Kelvin CK Chan, Ke Yu, Chao Dong, and Chen Change Loy. 2019. EDVR: Video restoration with enhanced deformable convolutional networks. In CVPRW."},{"key":"e_1_3_2_1_61_1","volume-title":"Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events. arXiv preprint arXiv:2304.06930","author":"Wang Yangguang","year":"2023","unstructured":"Yangguang Wang, Xiang Zhang, Mingyuan Lin, Lei Yu, Boxin Shi, Wen Yang, and Gui-Song Xia. 2023. Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events. arXiv preprint arXiv:2304.06930 (2023)."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3157870"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102731"},{"key":"e_1_3_2_1_64_1","volume-title":"Local-Global Temporal Difference Learning for Satellite Video Super-Resolution. arXiv preprint arXiv:2304.04421","author":"Xiao Yi","year":"2023","unstructured":"Yi Xiao, Qiangqiang Yuan, Kui Jiang, Xianyu Jin, Jiang He, Liangpei Zhang, and Chia-wen Lin. 2023. Local-Global Temporal Difference Learning for Satellite Video Super-Resolution. arXiv preprint arXiv:2304.04421 (2023)."},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3300121"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"crossref","unstructured":"Zeyu Xiao Xueyang Fu Jie Huang Zhen Cheng and Zhiwei Xiong. 2021. Space-time distillation for video super-resolution. In CVPR. 2113--2122.","DOI":"10.1109\/CVPR46437.2021.00215"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"crossref","unstructured":"Zeyu Xiao Dachun Kai Yueyi Zhang Zheng-Jun Zha Xiaoyan Sun and Zhiwei Xiong. 2024. Event-Adapted Video Super-Resolution. In ECCV.","DOI":"10.1007\/978-3-031-72946-1_13"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2022.3228747"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"crossref","unstructured":"Zeyu Xiao Zhiwei Xiong Xueyang Fu Dong Liu and Zheng-Jun Zha. 2020. Space-time video super-resolution using temporal profiles. In ACM MM. 664--672.","DOI":"10.1145\/3394171.3413667"},{"key":"e_1_3_2_1_70_1","volume-title":"Michael Bi Mi, and Angela Yao","author":"Xu Kai","year":"2023","unstructured":"Kai Xu, Ziwei Yu, Xin Wang, Michael Bi Mi, and Angela Yao. 2023. An implicit alignment for video super-resolution. arXiv preprint arXiv:2305.00163 (2023)."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01144-2"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"crossref","unstructured":"Yixin Yang Jin Han Jinxiu Liang Imari Sato and Boxin Shi. 2023. Learning event guided high dynamic range video reconstruction. In CVPR. 13924--13934.","DOI":"10.1109\/CVPR52729.2023.01338"},{"key":"e_1_3_2_1_73_1","unstructured":"Peng Yi Zhongyuan Wang Kui Jiang Junjun Jiang Tao Lu Xin Tian and Jiayi Ma. 2021. Omniscient video super-resolution. In ICCV. 4429--4438."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"crossref","unstructured":"Huanjing Yue Zhiming Zhang and Jingyu Yang. 2022. Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset. In ECCV. 608--624.","DOI":"10.1007\/978-3-031-20068-7_35"},{"key":"e_1_3_2_1_75_1","first-page":"21125","article-title":"Improving visual quality of image synthesis by a token-based generator with transformers","volume":"34","author":"Zeng Yanhong","year":"2021","unstructured":"Yanhong Zeng, Huan Yang, Hongyang Chao, Jianbo Wang, and Jianlong Fu. 2021. Improving visual quality of image synthesis by a token-based generator with transformers. NeurlPS, Vol. 34 (2021), 21125--21137.","journal-title":"NeurlPS"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3015759"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.09.002"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"crossref","unstructured":"Xinyu Zhou Peiqi Duan Yi Ma and Boxin Shi. 2022. EvUnroll: Neuromorphic events based rolling shutter image correction. In CVPR. 17775--17784.","DOI":"10.1109\/CVPR52688.2022.01725"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01174"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"crossref","unstructured":"Yunhao Zou Yinqiang Zheng Tsuyoshi Takatani and Ying Fu. 2021. Learning to reconstruct high speed and high dynamic range videos from events. In CVPR. 2024--2033.","DOI":"10.1109\/CVPR46437.2021.00206"}],"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\/3664647.3681357","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681357","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:44Z","timestamp":1750295864000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":80,"alternative-id":["10.1145\/3664647.3681357","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681357","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"}}]}}