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元宇宙虚拟数字人技术科普讲座

2022年11月16日 10:30 ~ 2022年11月16日 12:00
限额300人
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    • 公益课简介:

            I-Tech公益科技云课堂是依托掌握前沿技术的科研院所,服务全社会,推动全民科技素质的一个重要载体,课程内容涉及计算机领域最火的大数据、无人驾驶、量子计算、金融科技、元宇宙等前沿技术领域,敬请关注!

    • 公益课流程:

      • 10:30-10:40   主持人简介

      • 10:40-11:40   公益科技讲座

      • 11:40-12:00   互动答疑

    • 授课老师近2年主要学术成果:

    [1]      Feng-Lin Liu, Shu-Yu Chen, Yu-Kun Lai, Chun-Peng Li, Yue-Ren Jiang, Hongbo Fu, Lin Gao*. DeepFaceVideoEditing: Sketch-based Deep Editing of Face Videos. ACM Transactions on Graphics (ACM SIGGRAPH 2022), 2022, 41(4), 167:1-167:16.

    [2]      Jie Yang#, Kaichun Mo#, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao*. DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Transactions on Graphics (Presented at ACM SIGGRAPH 2022), 2022.

    [3]      Kaiwen Jiang, Shu-Yu Chen, Feng-Lin Liu, Hongbo Fu, Lin Gao*, NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields, ACM SIGGRAPH Asia 2022 (Conference Track)

    [4]      Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao*. Human Motion Transfer with 3D Constraints and Detail Enhancement, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.

    [5]      Yang-Tian Sun, Hao-Zhi Huang, Xuan Wang, Yu-Kun Lai, Wei Liu, Lin Gao*. Robust Pose Transfer with Dynamic Details using Neural Video Rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.

    [6]      Yu-Hui Wen, Lin Gao*, Hongbo Fu, Fang-Lue Zhang, Shihong Xia, Yong-Jin Liu*. Motif-GCNs with Local and Non-Local Temporal Blocks for Skeleton-based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.

    [7]      Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao*. HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies, The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

    [8]      Yu-Jie Yuan#, Yang-Tian Sun#, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao*. NeRF-Editing: Geometry Editing of Neural Radiance Fields. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2022.

    [9]      Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao*. StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2022.

    [10]   Wei Yang, Yi Wang, Lin Gao*, Di Zhang, Jie Yang, Zhijie Qiu. Sci-tech arts on Chang’e-5 lunar soil. The Innovation, 2022, 3(5), 100300, 2022.

    [11]   Wanchao Su, Hui Ye, Shu-Yu Chen, Lin Gao*, Hongbo Fu. DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022.

    [12]   Yi-Ling Qiao, Lin Gao*, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen. Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) (Presented at CVM 2022), 2022.

    [13]   Yi-Ling Qiao, Lin Gao*, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen. Learning on 3D Meshes with Laplacian Encoding and Pooling. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, 28(2), 1317-1327.

    [14]   Shu-Yu Chen#, Jia-Qi Zhang#, Lin Gao*, Yue He, Shihong Xia, Min Shi, Fang-Lue Zhang. Active Colorization for Cartoon Line Drawing. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, 28(2), 1198-1208.

    [15]   Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao*. Synthesizing Mesh Deformation Sequences with Bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, 28(4), 1906-1916.

    [16]   Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao*, Yu-Kun Lai, Fang-Lue Zhang. Reference-based Deep Line Art Video Colorization. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2022.

    [17]   Min Shi, Wenke Feng, Lin Gao, Dengming Zhu, Generating Diverse Clothed 3D Human Animations via a Generative Model (CVM), Computational Visual Media, 2022.

    [18]   Shu-Yu Chen, Yu-Kun Lai, Shihong Xia, Paul L. Rosin, Lin Gao*. 3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction. IEEE Transactions on Multimedia, 2022.

    [19]   Dechao Meng, Liang Li, Xuejing Liu, Lin Gao, Qingming Huang. Viewpoint Alignment and Discriminative Parts Enhancement in 3D Space for Vehicle ReID. IEEE Transactions on Multimedia, 2022.

    [20]   Shu-Yu Chen, Jia-Qi Zhang, You-You Zhao, Paul L. Rosin, Yu-Kun Lai, Lin Gao. A Review of Image and Video Colorization: From Analogies to Deep Learning. Visual Informatics (VI), 6 (3), pp. 51-68, 2022.

    [21]   Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao*. Mesh Variational Auto-encoders with Edge Contraction pooling, Journal of Image and Graphics, 27 (2), 2022

    [22]   Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao (Richard) Zhang, TM-NET: Deep Generative Networks for Textured Meshes, ACM SIGGRAPH/TOG, 2021, 40(6),1-15.

    [23]   Shu-Yu Chen#, Feng-Lin Liu#, Yu-Kun Lai, Paul Rosin, Chun-Peng Li, Hongbo Fu, Lin Gao*,DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control, ACM SIGGRAPH/TOG, 2021, 40(4), 90:1-90:15.

    [24]   Qingyang Tan#, Ling-Xiao Zhang#, Jie Yang, Yu-Kun Lai, Lin Gao*, Variational Autoencoders for Localized Mesh Deformation Component Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021.

    [25]   Lin Gao*, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt, PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2021, 27(6), 3007-3018.

    [26]   Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, Leif Kobbelt, Sparse Data Driven Mesh Deformation, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2021, 27(3), 2085-2100.

    [27]   Mingxian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia , Binqiang Zhao, Lin Gao*, Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning, IEEE International Conference on Computer Vision (IEEE ICCV), 2021.

    [28]   Huan Fu, Bowen Cai, Lin Gao, Ling-Xiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao (Richard) Zhang, 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics, IEEE International Conference on Computer Vision (IEEE ICCV), 2021.

    [29]   Yu-Hui Wen#, Zhipeng Yang#, Hongbo Fu, Lin Gao*, Yanan Sun, Yong-Jin Liu*, Autoregressive Stylized Motion Synthesis with Generative Flow, IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2021, 13612-13621.

    [30]   Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Lin Gao*, Ligang Liu, A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint, Journal of Computer Science and Technology (JCST), 2021, 36, 520-554.

    活动嘉宾

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    高林

    CCF高级会员 中国科学院计算技术研究所博士生导师 副研究员 北京市杰青 英国皇家学会牛顿高级学者

    中国科学院计算技术研究所

    课程简介

    ​    《如何用手机和画笔搭建虚拟数字世界:神经图形基础和实践》课程将介绍元宇宙和数字人的背景与技术概要,介绍实现元宇宙中所需的神经图形(Neural Graphics)技术,介绍神经图形中的关键技术要点神经辐射场(NeRF),并介绍如何基于神经辐射场(NeRF)通过拍照和编辑来快速的构建高真实感的虚拟数字世界。

    参加方式

    🎊培训时间:2022年11月16日(周三)10:30-12:00

    🏠培训地点:#腾讯会议:540-1816-9198

    邀请您点击专属链接入会,或添加至会议列表:https://meeting.tencent.com/dw/BaKeNf4oCZfi

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