{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:45:59Z","timestamp":1780512359688,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":44,"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":"National Key R&D Program of China","award":["No.2022YFB4501403"],"award-info":[{"award-number":["No.2022YFB4501403"]}]},{"name":"Science and Technology on Parallel and Distributed Processing Laboratory","award":["WDZC20235250106"],"award-info":[{"award-number":["WDZC20235250106"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681361","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:49Z","timestamp":1729925989000},"page":"1053-1061","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":74,"title":["AbsGS: Recovering Fine Details in 3D Gaussian Splatting"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-9370-5576","authenticated-orcid":false,"given":"Zongxin","family":"Ye","sequence":"first","affiliation":[{"name":"National University of Defense Technology & Meituan, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2218-6483","authenticated-orcid":false,"given":"Wenyu","family":"Li","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7715-4698","authenticated-orcid":false,"given":"Sidun","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6752-7892","authenticated-orcid":false,"given":"Peng","family":"Qiao","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1256-8934","authenticated-orcid":false,"given":"Yong","family":"Dou","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"e_1_3_2_1_2_1","volume-title":"Srinivasan","author":"Barron Jonathan T.","year":"2021","unstructured":"Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. 2021. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. ICCV (2021)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"e_1_3_2_1_4_1","volume-title":"Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. ICCV","author":"Barron Jonathan T.","year":"2023","unstructured":"Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2023. Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. ICCV (2023)."},{"key":"e_1_3_2_1_5_1","volume-title":"TensoRF: Tensorial Radiance Fields. In European Conference on Computer Vision (ECCV).","author":"Chen Anpei","year":"2022","unstructured":"Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su. 2022. TensoRF: Tensorial Radiance Fields. In European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_1_6_1","volume-title":"NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance. arXiv preprint arXiv:2312.00846","author":"Chen Hanlin","year":"2023","unstructured":"Hanlin Chen, Chen Li, and Gim Hee Lee. 2023. NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance. arXiv preprint arXiv:2312.00846 (2023)."},{"key":"e_1_3_2_1_7_1","volume-title":"Luciddreamer: Domain-free generation of 3d gaussian splatting scenes. arXiv preprint arXiv:2311.13384","author":"Chung Jaeyoung","year":"2023","unstructured":"Jaeyoung Chung, Suyoung Lee, Hyeongjin Nam, Jaerin Lee, and Kyoung Mu Lee. 2023. Luciddreamer: Domain-free generation of 3d gaussian splatting scenes. arXiv preprint arXiv:2311.13384 (2023)."},{"key":"e_1_3_2_1_8_1","volume-title":"Compact 3d gaussian splatting for dense visual slam. arXiv preprint arXiv:2403.11247","author":"Deng Tianchen","year":"2024","unstructured":"Tianchen Deng, Yaohui Chen, Leyan Zhang, Jianfei Yang, Shenghai Yuan, Danwei Wang, and Weidong Chen. 2024. Compact 3d gaussian splatting for dense visual slam. arXiv preprint arXiv:2403.11247 (2024)."},{"key":"e_1_3_2_1_9_1","volume-title":"4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes. arXiv preprint arXiv:2402.03307","author":"Duan Yuanxing","year":"2024","unstructured":"Yuanxing Duan, Fangyin Wei, Qiyu Dai, Yuhang He, Wenzheng Chen, and Baoquan Chen. 2024. 4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes. arXiv preprint arXiv:2402.03307 (2024)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"e_1_3_2_1_11_1","first-page":"33768","article-title":"Monocular dynamic view synthesis: A reality check","volume":"35","author":"Gao Hang","year":"2022","unstructured":"Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, and Angjoo Kanazawa. 2022. Monocular dynamic view synthesis: A reality check. Advances in Neural Information Processing Systems, Vol. 35 (2022), 33768--33780.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_12_1","volume-title":"Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering. arXiv preprint arXiv:2311.12775","author":"Gu\u00e9don Antoine","year":"2023","unstructured":"Antoine Gu\u00e9don and Vincent Lepetit. 2023. Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering. arXiv preprint arXiv:2311.12775 (2023)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275084"},{"key":"e_1_3_2_1_14_1","volume-title":"CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field. arXiv preprint arXiv:2403.16095","author":"Hu Jiarui","year":"2024","unstructured":"Jiarui Hu, Xianhao Chen, Boyin Feng, Guanglin Li, Liangjing Yang, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui. 2024. CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field. arXiv preprint arXiv:2403.16095 (2024)."},{"key":"e_1_3_2_1_15_1","volume-title":"2D Gaussian Splatting for Geometrically Accurate Radiance Fields. arXiv preprint arXiv:2403.17888","author":"Huang Binbin","year":"2024","unstructured":"Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao. 2024. 2D Gaussian Splatting for Geometrically Accurate Radiance Fields. arXiv preprint arXiv:2403.17888 (2024)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00094"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073599"},{"key":"e_1_3_2_1_19_1","volume-title":"Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis. arXiv preprint arXiv:2312.16812","author":"Li Zhan","year":"2023","unstructured":"Zhan Li, Zhang Chen, Zhong Li, and Yi Xu. 2023. Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis. arXiv preprint arXiv:2312.16812 (2023)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_3_2_1_22_1","volume-title":"Text2Immersion: Generative Immersive Scene with 3D Gaussians. arXiv preprint arXiv:2312.09242","author":"Ouyang Hao","year":"2023","unstructured":"Hao Ouyang, Kathryn Heal, Stephen Lombardi, and Tiancheng Sun. 2023. Text2Immersion: Generative Immersive Scene with 3D Gaussians. arXiv preprint arXiv:2312.09242 (2023)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1017\/S096249291700006X"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00581"},{"key":"e_1_3_2_1_25_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_26_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_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01407"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"e_1_3_2_1_29_1","volume-title":"3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos. arXiv preprint arXiv:2403.01444","author":"Sun Jiakai","year":"2024","unstructured":"Jiakai Sun, Han Jiao, Guangyuan Li, Zhanjie Zhang, Lei Zhao, and Wei Xing. 2024. 3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos. arXiv preprint arXiv:2403.01444 (2024)."},{"key":"e_1_3_2_1_30_1","volume-title":"LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation. arXiv preprint arXiv:2402.05054","author":"Tang Jiaxiang","year":"2024","unstructured":"Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, and Ziwei Liu. 2024. LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation. arXiv preprint arXiv:2402.05054 (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"Dreamgaussian: Generative gaussian splatting for efficient 3d content creation. arXiv preprint arXiv:2309.16653","author":"Tang Jiaxiang","year":"2023","unstructured":"Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng. 2023. Dreamgaussian: Generative gaussian splatting for efficient 3d content creation. arXiv preprint arXiv:2309.16653 (2023)."},{"key":"e_1_3_2_1_32_1","volume-title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. arXiv preprint arXiv:2403.17822","author":"Turkulainen Matias","year":"2024","unstructured":"Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, and Juho Kannala. 2024. DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing. arXiv preprint arXiv:2403.17822 (2024)."},{"key":"e_1_3_2_1_33_1","series-title":"Series B. Biological Sciences","volume-title":"The interpretation of structure from motion. Proceedings of the Royal Society of London","author":"Ullman Shimon","year":"1979","unstructured":"Shimon Ullman. 1979. The interpretation of structure from motion. Proceedings of the Royal Society of London. Series B. Biological Sciences, Vol. 203, 1153 (1979), 405--426."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00381"},{"key":"e_1_3_2_1_35_1","first-page":"27171","article-title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","volume":"34","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. Advances in Neural Information Processing Systems, Vol. 34 (2021), 27171--27183.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Yiming Wang Qin Han Marc Habermann Kostas Daniilidis Christian Theobalt and Lingjie Liu. 2023. Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction. In ICCV. 3295--3306.","DOI":"10.1109\/ICCV51070.2023.00305"},{"key":"e_1_3_2_1_37_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_38_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 17205--17214","author":"Xiao Yuxi","year":"2023","unstructured":"Yuxi Xiao, Nan Xue, Tianfu Wu, and Gui-Song Xia. 2023. Level-S^2fM: Structure From Motion on Neural Level Set of Implicit Surfaces. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 17205--17214."},{"key":"e_1_3_2_1_39_1","volume-title":"Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation. arXiv preprint arXiv:2403.14621","author":"Xu Yinghao","year":"2024","unstructured":"Yinghao Xu, Zifan Shi, Wang Yifan, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, and Gordon Wetzstein. 2024. Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation. arXiv preprint arXiv:2403.14621 (2024)."},{"key":"e_1_3_2_1_40_1","volume-title":"Gs-slam: Dense visual slam with 3d gaussian splatting. arXiv preprint arXiv:2311.11700","author":"Yan Chi","year":"2023","unstructured":"Chi Yan, Delin Qu, Dong Wang, Dan Xu, Zhigang Wang, Bin Zhao, and Xuelong Li. 2023. Gs-slam: Dense visual slam with 3d gaussian splatting. arXiv preprint arXiv:2311.11700 (2023)."},{"key":"e_1_3_2_1_41_1","first-page":"4805","article-title":"Volume rendering of neural implicit surfaces","volume":"34","author":"Yariv Lior","year":"2021","unstructured":"Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021. Volume rendering of neural implicit surfaces. Advances in Neural Information Processing Systems, Vol. 34 (2021), 4805--4815.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_42_1","volume-title":"Cogs: Controllable gaussian splatting. arXiv preprint arXiv:2312.05664","author":"Yu Heng","year":"2023","unstructured":"Heng Yu, Joel Julin, Zolt\u00e1n \u00c1 Milacski, Koichiro Niinuma, and L\u00e1szl\u00f3 A Jeni. 2023. Cogs: Controllable gaussian splatting. arXiv preprint arXiv:2312.05664 (2023)."},{"key":"e_1_3_2_1_43_1","volume-title":"GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. arXiv preprint arXiv:2402.07207","author":"Zhou Xiaoyu","year":"2024","unstructured":"Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, and Ming-Hsuan Yang. 2024. GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. arXiv preprint arXiv:2402.07207 (2024)."},{"key":"e_1_3_2_1_44_1","volume-title":"Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers. arXiv preprint arXiv:2312.09147","author":"Zou Zi-Xin","year":"2023","unstructured":"Zi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Yan-Pei Cao, and Song-Hai Zhang. 2023. Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers. arXiv preprint arXiv:2312.09147 (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\/3664647.3681361","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681361","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\/3664647.3681361"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":44,"alternative-id":["10.1145\/3664647.3681361","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681361","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"}}]}}