{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T17:51:01Z","timestamp":1770918661352,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China and Guangdong Province Scientific Research on Big Data?No. U1611461 ?"},{"name":"Key-Area Research and Development Program of Guangdong Province?No.2019B121204008?"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413648","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T13:10:18Z","timestamp":1602508218000},"page":"2067-2075","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Vaccine-style-net"],"prefix":"10.1145","author":[{"given":"Wei","family":"Yan","sequence":"first","affiliation":[{"name":"Peking University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruonan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory, ShenZhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Liu","sequence":"additional","affiliation":[{"name":"Tencent Media Lab, Palo Alto, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas H.","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"et almbox","author":"Achlioptas Panos","year":"2018","unstructured":"Panos Achlioptas , Olga Diamanti , et almbox . 2018 . Learning Representations and Generative Models for 3D Point Clouds. ICML ( 2018). Panos Achlioptas, Olga Diamanti, et almbox. 2018. Learning Representations and Generative Models for 3D Point Clouds. ICML (2018)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"e_1_3_2_2_4_1","volume-title":"Eurographics Italian Chapter Conference,, Vittorio Scarano, Rosario De Chiara, and Ugo Erra (Eds.). The Eurographics Association. https:\/\/doi.org\/10","author":"Cignoni Paolo","year":"2008","unstructured":"Paolo Cignoni , Marco Callieri , Massimiliano Corsini , Matteo Dellepiane , Fabio Ganovelli , and Guido Ranzuglia . 2008 . MeshLab: an Open-Source Mesh Processing Tool . In Eurographics Italian Chapter Conference,, Vittorio Scarano, Rosario De Chiara, and Ugo Erra (Eds.). The Eurographics Association. https:\/\/doi.org\/10 .2312\/LocalChapterEvents\/ItalChap\/ItalianChapConf2008\/129--136 10.2312\/LocalChapterEvents Paolo Cignoni, Marco Callieri, Massimiliano Corsini, Matteo Dellepiane, Fabio Ganovelli, and Guido Ranzuglia. 2008. MeshLab: an Open-Source Mesh Processing Tool. In Eurographics Italian Chapter Conference,, Vittorio Scarano, Rosario De Chiara, and Ugo Erra (Eds.). The Eurographics Association. https:\/\/doi.org\/10.2312\/LocalChapterEvents\/ItalChap\/ItalianChapConf2008\/129--136"},{"key":"e_1_3_2_2_5_1","volume-title":"et almbox. [n.d.]. Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry","author":"Dinesh Chinthaka","unstructured":"Chinthaka Dinesh , Ivan V. Bajic , et almbox. [n.d.]. Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry . IEEE Signal Processing Letters , Vol . 25, 6 ( [n.,d.]), 878--882. Chinthaka Dinesh, Ivan V. Bajic, et almbox. [n.d.]. Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry. IEEE Signal Processing Letters, Vol. 25, 6 ( [n.,d.]), 878--882."},{"key":"e_1_3_2_2_6_1","volume-title":"Advances in Neural Information Processing Systems 27","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014. Generative Adversarial Nets . In Advances in Neural Information Processing Systems 27 , Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.). Curran Associates, Inc. , 2672--2680. http:\/\/papers.nips.cc\/paper\/5423-generative-adversarial-nets.pdf Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems 27, Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 2672--2680. http:\/\/papers.nips.cc\/paper\/5423-generative-adversarial-nets.pdf"},{"key":"#cr-split#-e_1_3_2_2_7_1.1","doi-asserted-by":"crossref","unstructured":"Swaminathan Gurumurthy and Shubham Agrawal. 2019. High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization. 1099--1108. https:\/\/doi.org\/10.1109\/WACV.2019.00122 10.1109\/WACV.2019.00122","DOI":"10.1109\/WACV.2019.00122"},{"key":"#cr-split#-e_1_3_2_2_7_1.2","doi-asserted-by":"crossref","unstructured":"Swaminathan Gurumurthy and Shubham Agrawal. 2019. High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization. 1099--1108. https:\/\/doi.org\/10.1109\/WACV.2019.00122","DOI":"10.1109\/WACV.2019.00122"},{"key":"e_1_3_2_2_8_1","volume-title":"Proc of Symposium on Geometry Processing.","author":"M","year":"2006","unstructured":"M KAZHDAN. 2006 . Poisson surface reconstruction . In Proc of Symposium on Geometry Processing. M KAZHDAN. 2006. Poisson surface reconstruction. In Proc of Symposium on Geometry Processing."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073599"},{"key":"#cr-split#-e_1_3_2_2_10_1.1","doi-asserted-by":"crossref","unstructured":"Hyunjoo Lee and Young Kim. 2019. RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion. 5891--5900. https:\/\/doi.org\/10.1109\/CVPR.2019.00605 10.1109\/CVPR.2019.00605","DOI":"10.1109\/CVPR.2019.00605"},{"key":"#cr-split#-e_1_3_2_2_10_1.2","doi-asserted-by":"crossref","unstructured":"Hyunjoo Lee and Young Kim. 2019. RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion. 5891--5900. https:\/\/doi.org\/10.1109\/CVPR.2019.00605","DOI":"10.1109\/CVPR.2019.00605"},{"key":"e_1_3_2_2_11_1","first-page":"A187","article-title":"Continuous control with deep reinforcement learning","volume":"8","author":"Lillicrap Timothy P","year":"2015","unstructured":"Timothy P Lillicrap , Jonathan J Hunt , Alexander Pritzel , Nicolas Heess , Tom Erez , Yuval Tassa , David Silver , and Daan Wierstra . 2015 . Continuous control with deep reinforcement learning . Computer Science , Vol. 8 , 6 (2015), A187 . Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra. 2015. Continuous control with deep reinforcement learning. Computer Science, Vol. 8, 6 (2015), A187.","journal-title":"Computer Science"},{"key":"e_1_3_2_2_12_1","volume-title":"Cline","author":"Lorensen William E.","year":"1998","unstructured":"William E. Lorensen and Harvey E . Cline . 1998 . Marching cubes: a high resolution 3D surface construction algorithm. William E. Lorensen and Harvey E. Cline. 1998. Marching cubes: a high resolution 3D surface construction algorithm."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2408631"},{"key":"e_1_3_2_2_14_1","volume-title":"Occupancy Networks: Learning 3D Reconstruction in Function Space. 4455--4465. https:\/\/doi.org\/10.1109\/CVPR.2019.00459","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. 4455--4465. https:\/\/doi.org\/10.1109\/CVPR.2019.00459 10.1109\/CVPR.2019.00459 Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019. Occupancy Networks: Learning 3D Reconstruction in Function Space. 4455--4465. https:\/\/doi.org\/10.1109\/CVPR.2019.00459"},{"key":"e_1_3_2_2_15_1","volume-title":"Deep level sets: Implicit surface representations for 3d shape inference. arXiv preprint arXiv:1901.06802","author":"Michalkiewicz Mateusz","year":"2019","unstructured":"Mateusz Michalkiewicz , Jhony K Pontes , Dominic Jack , Mahsa Baktashmotlagh , and Anders Eriksson . 2019. Deep level sets: Implicit surface representations for 3d shape inference. arXiv preprint arXiv:1901.06802 ( 2019 ). Mateusz Michalkiewicz, Jhony K Pontes, Dominic Jack, Mahsa Baktashmotlagh, and Anders Eriksson. 2019. Deep level sets: Implicit surface representations for 3d shape inference. arXiv preprint arXiv:1901.06802 (2019)."},{"key":"e_1_3_2_2_16_1","volume-title":"et almbox","author":"Qi Charles R.","year":"2016","unstructured":"Charles R. Qi , Hao Su , et almbox . 2016 . PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation . arXiv:1612.00593 [cs] (Dec. 2016). Charles R. Qi, Hao Su, et almbox. 2016. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. arXiv:1612.00593 [cs] (Dec. 2016)."},{"key":"e_1_3_2_2_17_1","volume-title":"et almbox","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi , Li Yi , et almbox . 2017 . PointNet: Deep Hierarchical Feature Learning on Point Sets in a Metric Space . arXiv preprint arXiv:1706.02413 (2017). Charles R Qi, Li Yi, et almbox. 2017. PointNet: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. arXiv preprint arXiv:1706.02413 (2017)."},{"key":"e_1_3_2_2_18_1","volume-title":"International Journal of Computer Vision","author":"Stutz David","year":"2018","unstructured":"David Stutz and Andreas Geiger . 2018. Learning 3D Shape Completion Under Weak Supervision . International Journal of Computer Vision ( 2018 ). David Stutz and Andreas Geiger. 2018. Learning 3D Shape Completion Under Weak Supervision. International Journal of Computer Vision (2018)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00352"},{"key":"e_1_3_2_2_20_1","volume-title":"TopNet: Structural Point Cloud Decoder. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Tchapmi Lyne P.","year":"2019","unstructured":"Lyne P. Tchapmi , Vineet Kosaraju , Hamid Rezatofighi , Ian Reid , and Silvio Savarese . 2019 . TopNet: Structural Point Cloud Decoder. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, and Silvio Savarese. 2019. TopNet: Structural Point Cloud Decoder. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"e_1_3_2_2_22_1","volume-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Wu Null Zhirong","year":"2015","unstructured":"Null Zhirong Wu , Shuran Song , Aditya Khosla , Null Fisher Yu , Null Linguang Zhang , Null Xiaoou Tang , and Jianxiong Xiao . 2015 . 3D ShapeNets: A Deep Representation for Volumetric Shape Modeling . In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Null Zhirong Wu, Shuran Song, Aditya Khosla, Null Fisher Yu, Null Linguang Zhang, Null Xiaoou Tang, and Jianxiong Xiao. 2015. 3D ShapeNets: A Deep Representation for Volumetric Shape Modeling. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"#cr-split#-e_1_3_2_2_23_1.1","doi-asserted-by":"crossref","unstructured":"Yaoqing Yang Chen Feng Yiru Shen and Dong Tian. 2018. FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation. 206--215. https:\/\/doi.org\/10.1109\/CVPR.2018.00029 10.1109\/CVPR.2018.00029","DOI":"10.1109\/CVPR.2018.00029"},{"key":"#cr-split#-e_1_3_2_2_23_1.2","doi-asserted-by":"crossref","unstructured":"Yaoqing Yang Chen Feng Yiru Shen and Dong Tian. 2018. FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation. 206--215. https:\/\/doi.org\/10.1109\/CVPR.2018.00029","DOI":"10.1109\/CVPR.2018.00029"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"e_1_3_2_2_25_1","volume-title":"et almbox","author":"Yuan Wentao","year":"2019","unstructured":"Wentao Yuan , Tejas Khot , et almbox . 2019 . PCN : Point Completion Network . arXiv:1808.00671 [cs] (Sept. 2019). arXiv: 1808.00671. Wentao Yuan, Tejas Khot, et almbox. 2019. PCN: Point Completion Network. arXiv:1808.00671 [cs] (Sept. 2019). arXiv: 1808.00671."},{"key":"e_1_3_2_2_26_1","volume-title":"et almbox","author":"Zheng Tianhang","year":"2019","unstructured":"Tianhang Zheng , Changyou Chen , et almbox . 2019 . PointCloud Saliency Maps . arXiv:1812.01687 [cs(Sept. 2019). Tianhang Zheng, Changyou Chen, et almbox. 2019. PointCloud Saliency Maps. arXiv:1812.01687 [cs(Sept. 2019)."}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413648","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:15Z","timestamp":1750193235000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413648"}},"subtitle":["Point Cloud Completion in Implicit Continuous Function Space"],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":28,"alternative-id":["10.1145\/3394171.3413648","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413648","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}