{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T14:57:27Z","timestamp":1782313047368,"version":"3.54.5"},"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"}],"funder":[{"name":"Outstanding Talents Training Fund in Shenzhen"},{"name":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology"},{"name":"MIGU-PKU META VISION TECHNOLOGY INNOVATION LAB","award":["R24115SG"],"award-info":[{"award-number":["R24115SG"]}]},{"name":"Shenzhen Science and Technology Program-Shenzhen Cultivation of Excellent Scientific and Technological Innovation Talents project","award":["RCJC20200714114435057"],"award-info":[{"award-number":["RCJC20200714114435057"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681463","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:33Z","timestamp":1729925973000},"page":"7871-7880","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["4D Gaussian Splatting with Scale-aware Residual Field and Adaptive Optimization for Real-time Rendering of Temporally Complex Dynamic Scenes"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2865-1805","authenticated-orcid":false,"given":"Jinbo","family":"Yan","sequence":"first","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6473-7477","authenticated-orcid":false,"given":"Rui","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6584-0949","authenticated-orcid":false,"given":"Luyang","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0873-0465","authenticated-orcid":false,"given":"Ronggang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University &amp; Pengcheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01594"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613769"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01804"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00021"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00386"},{"key":"e_1_3_2_1_9_1","volume-title":"Ml-lmcl: Mutual learning and large-margin contrastive learning for improving asr robustness in spoken language understanding. arXiv preprint arXiv:2311.11375","author":"Cheng Xuxin","year":"2023","unstructured":"Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, and Yuexian Zou. 2023. Ml-lmcl: Mutual learning and large-margin contrastive learning for improving asr robustness in spoken language understanding. arXiv preprint arXiv:2311.11375 (2023)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.704"},{"key":"e_1_3_2_1_11_1","volume-title":"Depth map prediction from a single image using a multi-scale deep network. Advances in neural information processing systems","author":"Eigen David","year":"2014","unstructured":"David Eigen, Christian Puhrsch, and Rob Fergus. 2014. Depth map prediction from a single image using a multi-scale deep network. Advances in neural information processing systems, Vol. 27 (2014)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550469.3555383"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01201"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"e_1_3_2_1_15_1","volume-title":"V4d: Voxel for 4d novel view synthesis","author":"Gan Wanshui","year":"2023","unstructured":"Wanshui Gan, Hongbin Xu, Yi Huang, Shifeng Chen, and Naoto Yokoya. 2023. V4d: Voxel for 4d novel view synthesis. IEEE Transactions on Visualization and Computer Graphics (2023)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/app11125383"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings, Part VIII 14","author":"Garg Ravi","year":"2016","unstructured":"Ravi Garg, Vijay Kumar Bg, Gustavo Carneiro, and Ian Reid. 2016. Unsupervised cnn for single view depth estimation: Geometry to the rescue. In Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part VIII 14. Springer, 740--756."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01468"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00582"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01811"},{"key":"e_1_3_2_1_21_1","volume-title":"SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes. arXiv preprint arXiv:2312.14937","author":"Huang Yi-Hua","year":"2023","unstructured":"Yi-Hua Huang, Yang-Tian Sun, Ziyi Yang, Xiaoyang Lyu, Yan-Pei Cao, and Xiaojuan Qi. 2023. SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes. arXiv preprint arXiv:2312.14937 (2023)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417861"},{"key":"e_1_3_2_1_24_1","volume-title":"DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. arXiv preprint arXiv:2403.06912","author":"Li Jiahe","year":"2024","unstructured":"Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, and Lin Gu. 2024. DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. arXiv preprint arXiv:2403.06912 (2024)."},{"key":"e_1_3_2_1_25_1","first-page":"13485","article-title":"Streaming radiance fields for 3d video synthesis","volume":"35","author":"Li Lingzhi","year":"2022","unstructured":"Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, and Ping Tan. 2022. Streaming radiance fields for 3d video synthesis. Advances in Neural Information Processing Systems, Vol. 35 (2022), 13485--13498.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00544"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","unstructured":"Zhan Li Zhang Chen Zhong Li and Yi Xu. 2023. Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis. arXiv:2312.16812 pages. https:\/\/doi.org\/10.48550\/arXiv.2312.16812 Project page: https:\/\/oppo-us-research.github.io\/SpacetimeGaussians- website\/.","DOI":"10.48550\/arXiv.2312.16812"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618142"},{"key":"e_1_3_2_1_29_1","first-page":"36762","article-title":"Devrf: Fast deformable voxel radiance fields for dynamic scenes","volume":"35","author":"Liu Jia-Wei","year":"2022","unstructured":"Jia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang, Jussi Keppo, Ying Shan, Xiaohu Qie, and Mike Zheng Shou. 2022. Devrf: Fast deformable voxel radiance fields for dynamic scenes. Advances in Neural Information Processing Systems, Vol. 35 (2022), 36762--36775.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_31_1","volume-title":"Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis. arXiv preprint arXiv:2308.09713","author":"Luiten Jonathon","year":"2023","unstructured":"Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan. 2023. Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis. arXiv preprint arXiv:2308.09713 (2023)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00540"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.2307\/2346872"},{"key":"e_1_3_2_1_36_1","volume-title":"Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields. arXiv preprint arXiv:2106.13228","author":"Park Keunhong","year":"2021","unstructured":"Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M Seitz. 2021. Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields. arXiv preprint arXiv:2106.13228 (2021)."},{"key":"e_1_3_2_1_37_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, and Luca Antiga. 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_38_1","first-page":"56932","article-title":"Gens: Generalizable neural surface reconstruction from multi-view images","volume":"36","author":"Peng Rui","year":"2023","unstructured":"Rui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, and Ronggang Wang. 2023. Gens: Generalizable neural surface reconstruction from multi-view images. Advances in Neural Information Processing Systems, Vol. 36 (2023), 56932--56945.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00845"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01405"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00894"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01018"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01407"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3592426"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"e_1_3_2_1_46_1","volume-title":"Structure-from-Motion Revisited. In Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Sch\u00f6nberger Johannes Lutz","year":"2016","unstructured":"Johannes Lutz Sch\u00f6nberger and Jan-Michael Frahm. 2016. Structure-from-Motion Revisited. In Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_47_1","volume-title":"Pixelwise View Selection for Unstructured Multi-View Stereo. In European Conference on Computer Vision (ECCV).","author":"Sch\u00f6nberger Johannes Lutz","year":"2016","unstructured":"Johannes Lutz Sch\u00f6nberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm. 2016. Pixelwise View Selection for Unstructured Multi-View Stereo. In European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461785"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01596"},{"key":"e_1_3_2_1_50_1","volume-title":"GIM: Learning Generalizable Image Matcher From Internet Videos. arXiv preprint arXiv:2402.11095","author":"Shen Xuelun","year":"2024","unstructured":"Xuelun Shen, Zhipeng Cai, Wei Yin, Matthias M\u00fcller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, and Cheng Wang. 2024. GIM: Learning Generalizable Image Matcher From Internet Videos. arXiv preprint arXiv:2402.11095 (2024)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3247082"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00538"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","unstructured":"Chaoyang Wang Ben Eckart Simon Lucey and Orazio Gallo. 2021. Neural Trajectory Fields for Dynamic Novel View Synthesis. arXiv:2105.05994 pages. https:\/\/doi.org\/10.48550\/arXiv.2105.05994","DOI":"10.48550\/arXiv.2105.05994"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612306"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547808"},{"key":"e_1_3_2_1_56_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Wang Feng","year":"2024","unstructured":"Feng Wang, Zilong Chen, Guokang Wang, Yafei Song, and Huaping Liu. 2024. Masked space-time hash encoding for efficient dynamic scene reconstruction. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01805"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00016"},{"key":"e_1_3_2_1_59_1","volume-title":"Neus: Learning neural implicit surfaces by","author":"Wang Peng","year":"2021","unstructured":"Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021. Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction. arXiv preprint arXiv:2106.10689 (2021)."},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01573"},{"key":"e_1_3_2_1_61_1","volume-title":"4d gaussian splatting for real-time dynamic scene rendering. arXiv preprint arXiv:2310.08528","author":"Wu Guanjun","year":"2023","unstructured":"Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang. 2023. 4d gaussian splatting for real-time dynamic scene rendering. arXiv preprint arXiv:2310.08528 (2023)."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00349"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446844"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","unstructured":"Ziyi Yang Xinyu Gao Wen Zhou Shaohui Jiao Yuqing Zhang and Xiaogang Jin. 2023. Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction. arXiv:2309.13101 pages. https:\/\/doi.org\/10.48550\/arXiv.2309.13101","DOI":"10.48550\/arXiv.2309.13101"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_47"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00567"},{"key":"e_1_3_2_1_68_1","volume-title":"4dgen: Grounded 4d content generation with spatial-temporal consistency. arXiv preprint arXiv:2312.17225","author":"Yin Yuyang","year":"2023","unstructured":"Yuyang Yin, Dejia Xu, Zhangyang Wang, Yao Zhao, and Yunchao Wei. 2023. 4dgen: Grounded 4d content generation with spatial-temporal consistency. arXiv preprint arXiv:2312.17225 (2023)."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00570"},{"key":"e_1_3_2_1_70_1","volume-title":"Mip-splatting: Alias-free 3d gaussian splatting. arXiv preprint arXiv:2311.16493","author":"Yu Zehao","year":"2023","unstructured":"Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, and Andreas Geiger. 2023. Mip-splatting: Alias-free 3d gaussian splatting. arXiv preprint arXiv:2311.16493 (2023)."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01625"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","unstructured":"Junyi Zeng Chong Bao Rui Chen Zilong Dong Guofeng Zhang Hujun Bao and Zhaopeng Cui. 2023. Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing. 4606--4615 pages. https:\/\/doi.org\/10.1145\/3581783.3611857","DOI":"10.1145\/3581783.3611857"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19784-0_42"},{"key":"e_1_3_2_1_74_1","volume-title":"Nerf: Analyzing and improving neural radiance fields. arXiv preprint arXiv:2010.07492","author":"Zhang Kai","year":"2020","unstructured":"Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020. Nerf: Analyzing and improving neural radiance fields. arXiv preprint arXiv:2010.07492 (2020)."},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095299"},{"key":"e_1_3_2_1_76_1","volume-title":"Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo. In 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 1--8.","author":"Zhang Zhe","year":"2023","unstructured":"Zhe Zhang, Yuxi Hu, Huachen Gao, and Ronggang Wang. 2023. Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo. In 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 1--8."},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02060"},{"key":"e_1_3_2_1_78_1","volume-title":"Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis. arXiv preprint arXiv:2312.02155","author":"Zheng Shunyuan","year":"2023","unstructured":"Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, and Yebin Liu. 2023. Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis. arXiv preprint arXiv:2312.02155 (2023)."},{"key":"e_1_3_2_1_79_1","volume-title":"Surface-sos: Self-supervised object segmentation via neural surface representation","author":"Zheng Xiaoyun","year":"2024","unstructured":"Xiaoyun Zheng, Liwei Liao, Jianbo Jiao, Feng Gao, and Ronggang Wang. 2024. Surface-sos: Self-supervised object segmentation via neural surface representation. IEEE Transactions on Image Processing (2024)."},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02126"},{"key":"e_1_3_2_1_81_1","volume-title":"FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting. arXiv preprint arXiv:2312.00451","author":"Zhu Zehao","year":"2023","unstructured":"Zehao Zhu, Zhiwen Fan, Yifan Jiang, and Zhangyang Wang. 2023. FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting. arXiv preprint arXiv:2312.00451 (2023)."}],"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\/3664647.3681463","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681463","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:57:47Z","timestamp":1750294667000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681463"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":80,"alternative-id":["10.1145\/3664647.3681463","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681463","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"}}]}}