{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T14:03:48Z","timestamp":1772719428223,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":76,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T00:00:00Z","timestamp":1696550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,6]]},"DOI":"10.1145\/3615452.3617938","type":"proceedings-article","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T15:13:35Z","timestamp":1694531615000},"page":"199-207","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Toward Next-generation Volumetric Video Streaming with Neural-based Content Representations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8663-0698","authenticated-orcid":false,"given":"Kaiyan","family":"Liu","sequence":"first","affiliation":[{"name":"Geogre Mason University, Fairfax, United States of America"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3942-5167","authenticated-orcid":false,"given":"Ruizhi","family":"Cheng","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4875-2941","authenticated-orcid":false,"given":"Nan","family":"Wu","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7042-3322","authenticated-orcid":false,"given":"Bo","family":"Han","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, United States of America"}]}],"member":"320","published-online":{"date-parts":[[2023,10,6]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Edward H Adelson James R Bergen etal 1991. The Plenoptic Function and the Elements of Early Vision. Computational models of visual processing 1 2 (1991) 3--20.  Edward H Adelson James R Bergen et al. 1991. The Plenoptic Function and the Elements of Early Vision. Computational models of visual processing 1 2 (1991) 3--20."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Barron Jonathan T","year":"2022","unstructured":"Jonathan T Barron , Ben Mildenhall , Dor Verbin , Pratul P Srinivasan , and Peter Hedman . 2022 . Mip-nerf360: Unbounded Anti-aliased Neural Radiance Fields . In Proceedings of IEEE\/CVF CVPR. Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman. 2022. Mip-nerf360: Unbounded Anti-aliased Neural Radiance Fields. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.2637-496X.2017.tb01040.x"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of ACM SIGGRAPH.","author":"Broxton Michael","year":"2020","unstructured":"Michael Broxton , John Flynn , Ryan Overbeck , Daniel Erickson , Peter Hedman , Matthew Duvall , Jason Dourgarian , Jay Busch , Matt Whalen , and Paul Debevec . 2020 . Immersive Light Field Video with a Layered Mesh Representation . In Proceedings of ACM SIGGRAPH. Michael Broxton, John Flynn, Ryan Overbeck, Daniel Erickson, Peter Hedman, Matthew Duvall, Jason Dourgarian, Jay Busch, Matt Whalen, and Paul Debevec. 2020. Immersive Light Field Video with a Layered Mesh Representation. In Proceedings of ACM SIGGRAPH."},{"key":"e_1_3_2_1_5_1","volume-title":"Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. Advances in neural information processing systems (NIPS)","author":"Chen Wenzheng","year":"2019","unstructured":"Wenzheng Chen , Huan Ling , Jun Gao , Edward Smith , Jaakko Lehtinen , Alec Jacobson , and Sanja Fidler . 2019. Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. Advances in neural information processing systems (NIPS) ( 2019 ). Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler. 2019. Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. Advances in neural information processing systems (NIPS) (2019)."},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Chen Zhiqin","year":"2023","unstructured":"Zhiqin Chen , Thomas Funkhouser , Peter Hedman , and Andrea Tagliasacchi . 2023 . Mobilenerf: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures . In Proceedings of the IEEE\/CVF CVPR. Zhiqin Chen, Thomas Funkhouser, Peter Hedman, and Andrea Tagliasacchi. 2023. Mobilenerf: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of IEEE\/CVF ECCV.","author":"Cho Junwoo","year":"2022","unstructured":"Junwoo Cho , Seungtae Nam , Daniel Rho , Jong Hwan Ko , and Eunbyung Park . 2022 . Streamable Neural Fields . In Proceedings of IEEE\/CVF ECCV. Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, and Eunbyung Park. 2022. Streamable Neural Fields. In Proceedings of IEEE\/CVF ECCV."},{"key":"e_1_3_2_1_8_1","first-page":"e2716","article-title":"Telesurgery: Past, Present, and Future","volume":"10","author":"Choi Paul J","year":"2018","unstructured":"Paul J Choi , Rod J Oskouian , and R. Shane Tubbs . 2018 . Telesurgery: Past, Present, and Future . Cureus 10 , 5 (2018), e2716 . Paul J Choi, Rod J Oskouian, and R. Shane Tubbs. 2018. Telesurgery: Past, Present, and Future. Cureus 10, 5 (2018), e2716.","journal-title":"Cureus"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900272"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766945"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/781606.781656"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/378456.378484"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the IEEE\/CVF ICCV.","author":"Du Yilun","year":"2021","unstructured":"Yilun Du , Yinan Zhang , Hong-Xing Yu , Joshua B Tenenbaum , and Jiajun Wu . 2021 . Neural Radiance Flow for 4D View Synthesis and Video Processing . In Proceedings of the IEEE\/CVF ICCV. Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B Tenenbaum, and Jiajun Wu. 2021. Neural Radiance Flow for 4D View Synthesis and Video Processing. In Proceedings of the IEEE\/CVF ICCV."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of International Conference on Machine Learning (ICML).","author":"Dupont Emilien","year":"2022","unstructured":"Emilien Dupont , Hyunjik Kim , SM Ali Eslami , Danilo Jimenez Rezende , and Dan Rosenbaum . 2022 . From Data to Functa: Your Data Point is a Function and You Can Treat it Like One . In Proceedings of International Conference on Machine Learning (ICML). Emilien Dupont, Hyunjik Kim, SM Ali Eslami, Danilo Jimenez Rezende, and Dan Rosenbaum. 2022. From Data to Functa: Your Data Point is a Function and You Can Treat it Like One. In Proceedings of International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Fridovich-Keil Sara","year":"2022","unstructured":"Sara Fridovich-Keil , Alex Yu , Matthew Tancik , Qinhong Chen , Benjamin Recht , and Angjoo Kanazawa . 2022 . Plenoxels: Radiance Fields without Neural Networks . In Proceedings of the IEEE\/CVF CVPR. Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa. 2022. Plenoxels: Radiance Fields without Neural Networks. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Geng Chen","year":"2023","unstructured":"Chen Geng , Sida Peng , Zhen Xu , Hujun Bao , and Xiaowei Zhou . 2023 . Learning Neural Volumetric Representations of Dynamic Humans in Minutes . In Proceedings of IEEE\/CVF CVPR. Chen Geng, Sida Peng, Zhen Xu, Hujun Bao, and Xiaowei Zhou. 2023. Learning Neural Volumetric Representations of Dynamic Humans in Minutes. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Genova Kyle","year":"2020","unstructured":"Kyle Genova , Forrester Cole , Avneesh Sud , Aaron Sarna , and Thomas Funkhouser . 2020 . Local Deep Implicit Functions for 3D Shape . In Proceedings of the IEEE\/CVF CVPR. Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser. 2020. Local Deep Implicit Functions for 3D Shape. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366183"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3380888"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2413176.2413189"},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Jiang Yue","year":"2020","unstructured":"Yue Jiang , Dantong Ji , Zhizhong Han , and Matthias Zwicker . 2020 . Sdfdiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization . In Proceedings of the IEEE\/CVF CVPR. Yue Jiang, Dantong Ji, Zhizhong Han, and Matthias Zwicker. 2020. Sdfdiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_22_1","volume-title":"Ray Tracing","author":"Kajiya James T","year":"1984","unstructured":"James T Kajiya and Brian P Von Herzen . 1984. Ray Tracing Volume Densities. ACM SIGGRAPH computer graphics 18 , 3 ( 1984 ), 165--174. James T Kajiya and Brian P Von Herzen. 1984. Ray Tracing Volume Densities. ACM SIGGRAPH computer graphics 18, 3 (1984), 165--174."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419214"},{"key":"e_1_3_2_1_24_1","volume-title":"Dynamic Slimmable Network. In In Proceedings of IEEE\/CVF CVPR.","author":"Li Changlin","year":"2021","unstructured":"Changlin Li , Guangrun Wang , Bing Wang , Xiaodan Liang , Zhihui Li , and Xiaojun Chang . 2021 . Dynamic Slimmable Network. In In Proceedings of IEEE\/CVF CVPR. Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, and Xiaojun Chang. 2021. Dynamic Slimmable Network. In In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Li Tianye","year":"2022","unstructured":"Tianye Li , Mira Slavcheva , Michael Zollhoefer , Simon Green , Christoph Lassner , Changil Kim , Tanner Schmidt , Steven Lovegrove , Michael Goesele , Richard Newcombe , 2022 . Neural 3D Video Synthesis from Multi-view Video . In Proceedings of IEEE\/CVF CVPR. Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, et al. 2022. Neural 3D Video Synthesis from Multi-view Video. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_26_1","first-page":"15651","article-title":"Neural Sparse Voxel Fields","volume":"33","author":"Liu Lingjie","year":"2020","unstructured":"Lingjie Liu , Jiatao Gu , Kyaw Zaw Lin , Tat-Seng Chua , and Christian Theobalt . 2020 . Neural Sparse Voxel Fields . Advances in Neural Information Processing Systems (NIPS) 33 (2020), 15651 -- 15663 . Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt. 2020. Neural Sparse Voxel Fields. Advances in Neural Information Processing Systems (NIPS) 33 (2020), 15651--15663.","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Liu Shichen","year":"2019","unstructured":"Shichen Liu , Tianye Li , Weikai Chen , and Hao Li . 2019 . Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning . In Proceedings of the IEEE\/CVF CVPR. Shichen Liu, Tianye Li, Weikai Chen, and Hao Li. 2019. Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of ACM SIGCOMM.","author":"Liu Xi","year":"2012","unstructured":"Xi Liu , Florin Dobrian , Henry Milner , Junchen Jiang , Vyas Sekar , Ion Stoica , and Hui Zhang . 2012 . A Case for a Coordinated Internet Video Control Plane . In Proceedings of ACM SIGCOMM. Xi Liu, Florin Dobrian, Henry Milner, Junchen Jiang, Vyas Sekar, Ion Stoica, and Hui Zhang. 2012. A Case for a Coordinated Internet Video Control Plane. In Proceedings of ACM SIGCOMM."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3495243.3517027"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Liu Yu-Lun","year":"2023","unstructured":"Yu-Lun Liu , Chen Gao , Andreas Meuleman , Hung-Yu Tseng , Ayush Saraf , Changil Kim , Yung-Yu Chuang , Johannes Kopf , and Jia-Bin Huang . 2023 . Robust Dynamic Radiance Fields . In Proceedings of the IEEE\/CVF CVPR. Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, and Jia-Bin Huang. 2023. Robust Dynamic Radiance Fields. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323020"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459863"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of IEEE\/CVF ECCV.","author":"Loper Matthew M","year":"2014","unstructured":"Matthew M Loper and Michael J Black . 2014 . OpenDR: An Approximate Differentiable Renderer . In Proceedings of IEEE\/CVF ECCV. Matthew M Loper and Michael J Black. 2014. OpenDR: An Approximate Differentiable Renderer. In Proceedings of IEEE\/CVF ECCV."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098843"},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Martin-Brualla Ricardo","year":"2021","unstructured":"Ricardo Martin-Brualla , Noha Radwan , Mehdi SM Sajjadi , Jonathan T Barron , Alexey Dosovitskiy , and Daniel Duckworth . 2021 . NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections . In Proceedings of IEEE\/CVF CVPR. Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth. 2021. NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_36_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Mescheder Lars","year":"2019","unstructured":"Lars Mescheder , Michael Oechsle , Michael Niemeyer , Sebastian Nowozin , and Andreas Geiger . 2019 . Occupancy Networks: Learning 3D Reconstruction in Function Space . In Proceedings of the IEEE\/CVF CVPR. Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019. Occupancy Networks: Learning 3D Reconstruction in Function Space. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings of IEEE\/CVF ECCV.","author":"Mihajlovic Marko","year":"2022","unstructured":"Marko Mihajlovic , Aayush Bansal , Michael Zollhoefer , Siyu Tang , and Shunsuke Saito . 2022 . KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints . In Proceedings of IEEE\/CVF ECCV. Marko Mihajlovic, Aayush Bansal, Michael Zollhoefer, Siyu Tang, and Shunsuke Saito. 2022. KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints. In Proceedings of IEEE\/CVF ECCV."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2021.10.010"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_3_2_1_41_1","volume-title":"Proceedings of the IEEE\/CVF CVPR. 343--352","author":"Newcombe Richard A","year":"2015","unstructured":"Richard A Newcombe , Dieter Fox , and Steven M Seitz . 2015 . Dynamic-fusion: Reconstruction and Tracking of Non-rigid Scenes in Real-time . In Proceedings of the IEEE\/CVF CVPR. 343--352 . Richard A Newcombe, Dieter Fox, and Steven M Seitz. 2015. Dynamic-fusion: Reconstruction and Tracking of Non-rigid Scenes in Real-time. In Proceedings of the IEEE\/CVF CVPR. 343--352."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2003.1196006"},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Park Jeong Joon","year":"2019","unstructured":"Jeong Joon Park , Peter Florence , Julian Straub , Richard Newcombe , and Steven Lovegrove . 2019 . Deepsdf: Learning Continuous Signed Distance Functions for Shape Representation . In Proceedings of the IEEE\/CVF CVPR. Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove. 2019. Deepsdf: Learning Continuous Signed Distance Functions for Shape Representation. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_44_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Park Keunhong","year":"2021","unstructured":"Keunhong Park , Utkarsh Sinha , Jonathan T Barron , Sofien Bouaziz , Dan B Goldman , Steven M Seitz , and Ricardo Martin-Brualla . 2021 . Nerfies: Deformable neural radiance fields . In Proceedings of the IEEE\/CVF CVPR. Keunhong Park, Utkarsh Sinha, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Steven M Seitz, and Ricardo Martin-Brualla. 2021. Nerfies: Deformable neural radiance fields. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480487"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2005.03.001"},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Peng Sida","year":"2023","unstructured":"Sida Peng , Yunzhi Yan , Qing Shuai , Hujun Bao , and Xiaowei Zhou . 2023 . Representing Volumetric Videos as Dynamic MLP Maps . In Proceedings of IEEE\/CVF CVPR. Sida Peng, Yunzhi Yan, Qing Shuai, Hujun Bao, and Xiaowei Zhou. 2023. Representing Volumetric Videos as Dynamic MLP Maps. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Peng Sida","year":"2021","unstructured":"Sida Peng , Yuanqing Zhang , Yinghao Xu , Qianqian Wang , Qing Shuai , Hujun Bao , and Xiaowei Zhou . 2021 . Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans . In Proceedings of IEEE\/CVF CVPR. Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou. 2021. Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_49_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Pumarola Albert","year":"2021","unstructured":"Albert Pumarola , Enric Corona , Gerard Pons-Moll , and Francesc Moreno-Noguer . 2021 . D-nerf: Neural Radiance Fields for Dynamic Scenes . In Proceedings of IEEE\/CVF CVPR. Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer. 2021. D-nerf: Neural Radiance Fields for Dynamic Scenes. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_50_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi , Hao Su , Kaichun Mo , and Leonidas J Guibas . 2017 . Point-Net: Deep Learning on Point Sets for 3D Classification and Segmentation . In Proceedings of IEEE\/CVF CVPR. Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017. Point-Net: Deep Learning on Point Sets for 3D Classification and Segmentation. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_51_1","volume-title":"Proceedings of ACM MobiCom.","author":"Qian Feng","year":"2018","unstructured":"Feng Qian , Bo Han , Qingyang Xiao , and Vijay Gopalakrishnan . 2018 . Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Devices . In Proceedings of ACM MobiCom. Feng Qian, Bo Han, Qingyang Xiao, and Vijay Gopalakrishnan. 2018. Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Devices. In Proceedings of ACM MobiCom."},{"key":"e_1_3_2_1_52_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Reiser Christian","year":"2021","unstructured":"Christian Reiser , Songyou Peng , Yiyi Liao , and Andreas Geiger . 2021 . Kilonerf: Speeding Up Neural Radiance Fields with Thousands of Tiny Mlps . In Proceedings of the IEEE\/CVF CVPR. Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021. Kilonerf: Speeding Up Neural Radiance Fields with Thousands of Tiny Mlps. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_53_1","unstructured":"Andrei A Rusu Neil C Rabinowitz Guillaume Desjardins Hubert Soyer James Kirkpatrick Koray Kavukcuoglu Razvan Pascanu and Raia Hadsell. 2016. Progressive Neural Networks. https:\/\/arxiv.org\/abs\/1606.04671. [accessed on 10-July-2023].  Andrei A Rusu Neil C Rabinowitz Guillaume Desjardins Hubert Soyer James Kirkpatrick Koray Kavukcuoglu Razvan Pascanu and Raia Hadsell. 2016. Progressive Neural Networks. https:\/\/arxiv.org\/abs\/1606.04671. [accessed on 10-July-2023]."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2007.905532"},{"key":"e_1_3_2_1_56_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Shao Ruizhi","year":"2023","unstructured":"Ruizhi Shao , Zerong Zheng , Hanzhang Tu , Boning Liu , Hongwen Zhang , and Yebin Liu . 2023 . Tensor4d: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering . In Proceedings of the IEEE\/CVF CVPR. Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, and Yebin Liu. 2023. Tensor4d: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3247082"},{"key":"e_1_3_2_1_58_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Su Hang","year":"2018","unstructured":"Hang Su , Varun Jampani , Deqing Sun , Subhransu Maji , Evangelos Kalogerakis , Ming-Hsuan Yang , and Jan Kautz . 2018 . Splatnet: Sparse Lattice Networks for Point Cloud Processing . In Proceedings of the IEEE\/CVF CVPR. Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz. 2018. Splatnet: Sparse Lattice Networks for Point Cloud Processing. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_59_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems (NIPS)","author":"Su Shih-Yang","year":"2021","unstructured":"Shih-Yang Su , Frank Yu , Michael Zollh\u00f6fer , and Helge Rhodin . 2021 . ANeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose . Proceedings of Advances in Neural Information Processing Systems (NIPS) (2021). Shih-Yang Su, Frank Yu, Michael Zollh\u00f6fer, and Helge Rhodin. 2021. ANeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose. Proceedings of Advances in Neural Information Processing Systems (NIPS) (2021)."},{"key":"e_1_3_2_1_60_1","volume-title":"Proceedings of the ACM SIGGRAPH.","author":"Takikawa Towaki","year":"2022","unstructured":"Towaki Takikawa , Alex Evans , Jonathan Tremblay , Thomas M\u00fcller , Morgan McGuire , Alec Jacobson , and Sanja Fidler . 2022 . Variable Bitrate Neural Fields . In Proceedings of the ACM SIGGRAPH. Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas M\u00fcller, Morgan McGuire, Alec Jacobson, and Sanja Fidler. 2022. Variable Bitrate Neural Fields. In Proceedings of the ACM SIGGRAPH."},{"key":"e_1_3_2_1_61_1","volume-title":"Proceedings of ACM Symposium on User Interface Software and Technology (UIST).","author":"Kumaravel Balasaravanan Thoravi","year":"2019","unstructured":"Balasaravanan Thoravi Kumaravel , Fraser Anderson , George Fitzmaurice , Bjoern Hartmann , and Tovi Grossman . 2019 . Loki: Facilitating Remote Instruction of Physical Tasks Using Bi-Directional Mixed-Reality Telepresence . In Proceedings of ACM Symposium on User Interface Software and Technology (UIST). Balasaravanan Thoravi Kumaravel, Fraser Anderson, George Fitzmaurice, Bjoern Hartmann, and Tovi Grossman. 2019. Loki: Facilitating Remote Instruction of Physical Tasks Using Bi-Directional Mixed-Reality Telepresence. In Proceedings of ACM Symposium on User Interface Software and Technology (UIST)."},{"key":"e_1_3_2_1_62_1","volume-title":"Proceedings of the International Conference on Neural Information Processing Systems (NIPS).","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017 . Attention is All You Need . In Proceedings of the International Conference on Neural Information Processing Systems (NIPS). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. In Proceedings of the International Conference on Neural Information Processing Systems (NIPS)."},{"key":"e_1_3_2_1_63_1","volume-title":"Proceedings of the IEEE\/CVF ICCV.","author":"Wang Hanchen","year":"2021","unstructured":"Hanchen Wang , Qi Liu , Xiangyu Yue , Joan Lasenby , and Matt J Kusner . 2021 . Unsupervised Point Cloud Pre-training via Occlusion Completion . In Proceedings of the IEEE\/CVF ICCV. Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, and Matt J Kusner. 2021. Unsupervised Point Cloud Pre-training via Occlusion Completion. In Proceedings of the IEEE\/CVF ICCV."},{"key":"e_1_3_2_1_64_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Wang Liao","year":"2022","unstructured":"Liao Wang , Jiakai Zhang , Xinhang Liu , Fuqiang Zhao , Yanshun Zhang , Yingliang Zhang , Minve Wu , Jingyi Yu , and Lan Xu . 2022 . Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time . In Proceedings of the IEEE\/CVF CVPR. Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minve Wu, Jingyi Yu, and Lan Xu. 2022. Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_65_1","volume-title":"Proceedings of the IEEE\/CVF CVPR.","author":"Wu Minye","year":"2020","unstructured":"Minye Wu , Yuehao Wang , Qiang Hu , and Jingyi Yu . 2020 . Multi-view Neural Human Rendering . In Proceedings of the IEEE\/CVF CVPR. Minye Wu, Yuehao Wang, Qiang Hu, and Jingyi Yu. 2020. Multi-view Neural Human Rendering. In Proceedings of the IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_66_1","volume-title":"D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. Proceddings of Advances in Neural Information Processing Systems (NIPS)","author":"Wu Tianhao","year":"2022","unstructured":"Tianhao Wu , Fangcheng Zhong , Andrea Tagliasacchi , Forrester Cole , and Cengiz Oztireli . 2022. D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. Proceddings of Advances in Neural Information Processing Systems (NIPS) ( 2022 ). Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, and Cengiz Oztireli. 2022. D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. Proceddings of Advances in Neural Information Processing Systems (NIPS) (2022)."},{"key":"e_1_3_2_1_67_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Xian Wenqi","year":"2021","unstructured":"Wenqi Xian , Jia-Bin Huang , Johannes Kopf , and Changil Kim . 2021 . Space-time Neural Irradiance Fields for Free-viewpoint Video . In Proceedings of IEEE\/CVF CVPR. Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim. 2021. Space-time Neural Irradiance Fields for Free-viewpoint Video. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103675"},{"key":"e_1_3_2_1_69_1","volume-title":"Recursive-NeRF: An Efficient and Dynamically Growing NeRF","author":"Yang Guo-Wei","year":"2022","unstructured":"Guo-Wei Yang , Wen-Yang Zhou , Hao-Yang Peng , Dun Liang , Tai-Jiang Mu , and Shi-Min Hu. 2022. Recursive-NeRF: An Efficient and Dynamically Growing NeRF . IEEE Transactions on Visualization and Computer Graphics ( 2022 ). Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng, Dun Liang, Tai-Jiang Mu, and Shi-Min Hu. 2022. Recursive-NeRF: An Efficient and Dynamically Growing NeRF. IEEE Transactions on Visualization and Computer Graphics (2022)."},{"key":"e_1_3_2_1_70_1","volume-title":"Proceedings of the IEEE\/CVF ICCV.","author":"Yu Alex","year":"2021","unstructured":"Alex Yu , Ruilong Li , Matthew Tancik , Hao Li , Ren Ng , and Angjoo Kanazawa . 2021 . Plenoctrees for Real-time Rendering of Neural Radiance Fields . In Proceedings of the IEEE\/CVF ICCV. Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa. 2021. Plenoctrees for Real-time Rendering of Neural Radiance Fields. In Proceedings of the IEEE\/CVF ICCV."},{"key":"e_1_3_2_1_71_1","volume-title":"Proceedings of IEEE\/CVF CVPR.","author":"Yu Alex","year":"2021","unstructured":"Alex Yu , Vickie Ye , Matthew Tancik , and Angjoo Kanazawa . 2021 . pixel-NeRF: Neural Radiance Fields from One or Few Images . In Proceedings of IEEE\/CVF CVPR. Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa. 2021. pixel-NeRF: Neural Radiance Fields from One or Few Images. In Proceedings of IEEE\/CVF CVPR."},{"key":"e_1_3_2_1_72_1","volume-title":"Proceedings of IEEE Quality of Multimedia Experience (QoMEX).","author":"Zerman Emin","year":"2020","unstructured":"Emin Zerman , Cagri Ozcinar , Pan Gao , and Aljosa Smolic . 2020 . Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression . In Proceedings of IEEE Quality of Multimedia Experience (QoMEX). Emin Zerman, Cagri Ozcinar, Pan Gao, and Aljosa Smolic. 2020. Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression. In Proceedings of IEEE Quality of Multimedia Experience (QoMEX)."},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3446382.3448663"},{"key":"e_1_3_2_1_74_1","volume-title":"Proceedings of USENIX NSDI. https:\/\/www.usenix.org\/conference\/nsdi22\/presentation\/zhang-anlan","author":"Zhang Anlan","year":"2022","unstructured":"Anlan Zhang , Chendong Wang , Bo Han , and Feng Qian . 2022 . YuZu: Neural-enhanced Volumetric Video Streaming . In Proceedings of USENIX NSDI. https:\/\/www.usenix.org\/conference\/nsdi22\/presentation\/zhang-anlan Anlan Zhang, Chendong Wang, Bo Han, and Feng Qian. 2022. YuZu: Neural-enhanced Volumetric Video Streaming. In Proceedings of USENIX NSDI. https:\/\/www.usenix.org\/conference\/nsdi22\/presentation\/zhang-anlan"},{"key":"e_1_3_2_1_75_1","volume-title":"Proceedings of ACM HotNets.","author":"Zhang Ding","year":"2021","unstructured":"Ding Zhang , Bo Han , Parth Pathak , and Haoliang Wang . 2021 . Innovating Multi-user Volumetric Video Streaming through Cross-layer Design . In Proceedings of ACM HotNets. Ding Zhang, Bo Han, Parth Pathak, and Haoliang Wang. 2021. Innovating Multi-user Volumetric Video Streaming through Cross-layer Design. In Proceedings of ACM HotNets."},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3560905.3568540"}],"event":{"name":"ImmerCom '23: 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems","location":"Madrid Spain","acronym":"ImmerCom '23","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615452.3617938","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:45:45Z","timestamp":1750178745000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615452.3617938"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,6]]},"references-count":76,"alternative-id":["10.1145\/3615452.3617938","10.1145\/3615452"],"URL":"https:\/\/doi.org\/10.1145\/3615452.3617938","relation":{},"subject":[],"published":{"date-parts":[[2023,10,6]]},"assertion":[{"value":"2023-10-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}