Jie Yang

Orcid: 0000-0002-6503-8312

Affiliations:
  • Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China
  • University of Chinese Academy of Sciences, China


According to our database1, Jie Yang authored at least 27 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Recent Advances in 3D Gaussian Splatting.
CoRR, 2024

Mesh-based Gaussian Splatting for Real-time Large-scale Deformation.
CoRR, 2024

2023
ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction.
Graph. Model., October, 2023

Deep Deformation Detail Synthesis for Thin Shell Models.
Comput. Graph. Forum, August, 2023

SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

STD-Net: Structure-Preserving and Topology-Adaptive Deformation Network for Single-View 3D Reconstruction.
IEEE Trans. Vis. Comput. Graph., March, 2023

DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation.
ACM Trans. Graph., February, 2023

Multiscale Mesh Deformation Component Analysis With Attention-Based Autoencoders.
IEEE Trans. Vis. Comput. Graph., 2023

NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes.
Proceedings of the International Conference on Machine Learning, 2023

NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning on 3D Meshes With Laplacian Encoding and Pooling.
IEEE Trans. Vis. Comput. Graph., 2022

Variational Autoencoders for Localized Mesh Deformation Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Sparse Data Driven Mesh Deformation.
IEEE Trans. Vis. Comput. Graph., 2021

OctField: Hierarchical Implicit Functions for 3D Modeling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval.
CoRR, 2020

DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry.
CoRR, 2020

Mesh Variational Autoencoders with Edge Contraction Pooling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
SDM-NET: deep generative network for structured deformable mesh.
ACM Trans. Graph., 2019

LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling.
CoRR, 2019

Mesh Variational Autoencoders with Edge Contraction Pooling.
CoRR, 2019

2018
Automatic unpaired shape deformation transfer.
ACM Trans. Graph., 2018

Biharmonic deformation transfer with automatic key point selection.
Graph. Model., 2018

Mesh-Based Autoencoders for Localized Deformation Component Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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