Publications
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NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering
Yu-Tao Liu,
Li Wang,
Jie Yang,
Weikai Chen,
Xiaoxu Meng,
Bo Yang and
Lin Gao*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper (Coming Soon)]
[Project]
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IMPLICITPCA: Implicitly-Proxied Parametric Encoding for Collision-Aware Garment Reconstruction
Lan Chen,
Jie Yang,
Hongbo Fu,
Xiaoxu Meng,
Weikai Chen,
Bo Yang and
Lin Gao*
International Conference on Computational Visual Media 2023 (Recommended to Graphical Models)
[Paper (Coming Soon)]
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SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry
Lin Gao
Jia-Mu Sun,
Kaichun Mo,
Yu-Kun Lai,
Leonidas J. Guibas and
Jie Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
[Paper]
[Project]
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DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
Jie Yang#,
Kaichun Mo#,
Yu-Kun Lai,
Leonidas J. Guibas and
Lin Gao
ACM Transactions on Graphics, 2022 (Presented at SIGGRAPH 2022)
[Paper]
[Project]
[Video (
YouTube|Bilibili)]
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HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies
Li Wang,
Jie Yang,
Weikai Chen,
Xiaoxu Meng,
Bo Yang,
Jintao Li and
Lin Gao*
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
[Paper]
[Project]
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Sci-tech arts on Chang'e-5 lunar soil
Wei Yang+,
Yi Wang+,
Lin Gao+,
Di Zhang,
Jie Yang and
Zhijie Qiu
The Innovation, 2022, 3(5), 100300
[Paper]
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OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang#,
Weikai Chen#,
Jie Yang,
Bo Wang,
Songrun Liu,
Bo Yang and
Lin Gao*
The Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
[Paper]
[Project]
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Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning
Mingxian Lin,
Jie Yang,
He Wang,
Yu-Kun Lai,
Rongfei Jia,
Binqiang Zhao and
Lin Gao*
IEEE International Conference on Computer Vision (ICCV), 2021
[Paper]
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STD-Net: Structure-preserving and Topology-adaptive Deformation Network for Single-View 3D Reconstruction
Aihua Mao,
Canglan Dai,
Qing Liu,
Jie Yang,
Lin Gao,
Ying He and
Yong-Jin Liu
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2021
[Paper]
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Variational Autoencoders for Localized Mesh Deformation Component Analysis
Qingyang Tan#,
Ling-Xiao Zhang#,
Jie Yang,
Yu-Kun Lai and
Lin Gao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021
[Paper]
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Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen,
Lin Gao*,
Jie Yang,
Shibiao Xu*,
Juntao Ye,
Xiaopeng Zhang and
Yu-Kun Lai
CoRR abs/2102.11541 (2021)
[Paper]
[Video (
YouTube|Bilibili)]
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Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang,
Lin Gao,
Qingyang Tan,
Yihua Huang,
Shihong Xia and
Yu-Kun Lai
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), To Appear, 2021
[Paper]
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RISA-Net: Rotation-Invariant and Structure-Aware Network for Fine-grained 3D Shape Retrieval
Rao Fu,
Jie Yang,
Jiawei Sun,
Fanglue Zhang,
Yu-Kun Lai and
Lin Gao
CoRR abs/2010.00973 (2020)
[Paper]
[Code]
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Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao,
Lin Gao,
Jie Yang,
Paul L. Rosin,
Yu-Kun Lai and
Xilin Chen
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022, 28(2), 1317-1327
[Paper]
[Code]
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Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan,
Yu-Kun Lai,
Jie Yang,
Hongbo Fu and
Lin Gao
CVPR 2020 WorkShop
[Paper]
[Code]
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SDM-NET: Deep Generative Network for Structured Deformable Mesh
Lin Gao,
Jie Yang,
Tong Wu,
Yu-Jie Yuan
Hongbo Fu,
Yu-Kun Lai and
Hao(Richard) Zhang
ACM Transactions on Graphics (SIGGRAPH Asia), 38(6), 2019
[Project page]
[Code]
[ArXiv Preprint]
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Automatic Unpaired Shape Deformation Transfer
Lin Gao,
Jie Yang,
Ying-Ling Qiao,
Yu-Kun Lai,
Paul L. Rosin,
Weiwei Xu and
Shihong Xia
ACM Transactions on Graphics (SIGGRAPH Asia), 37(6), 2018
[Project page]
[Code]
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Biharmonic deformation transfer with automatic key point selection
Jie Yang,
Lin Gao,
Yu-Kun Lai,
Paul L. Rosin and
Shihong Xia
Graphical Models vol. 98, 1-13,2018
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Sparse Data Driven Mesh Deformation
Lin Gao,
Yu-Kun Lai,
Jie Yang,
Ling-Xiao Zhang,
Leif Kobbelt and
Shihong Xia
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2021, 27(3), 2085-2100
[Paper]
[Code]
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Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan,
Lin Gao,
Yu-Kun Lai,
Jie Yang and
Shihong Xia
AAAI Conference on Artificial Intelligence (Spotlight), 2018
[Project]
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