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01/15/2023
Learning Audio-Driven Viseme Dynamics for 3D Face Animation
We present a novel audio-driven facial animation approach that can gener...
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12/26/2022
MC-Nonlocal-PINNs: handling nonlocal operators in PINNs via Monte Carlo sampling
We propose, Monte Carlo Nonlocal physics-informed neural networks (MC-No...
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12/17/2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Point clouds are characterized by irregularity and unstructuredness, whi...
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07/07/2022
Multi-View Vision-to-Geometry Knowledge Transfer for 3D Point Cloud Shape Analysis
As two fundamental representation modalities of 3D objects, 2D multi-vie...
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06/14/2022
Semi-signed neural fitting for surface reconstruction from unoriented point clouds
Reconstructing 3D geometry from unoriented point clouds can benefit many...
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03/24/2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
We propose WarpingGAN, an effective and efficient 3D point cloud generat...
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03/22/2022
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
This paper investigates the problem of temporally interpolating dynamic ...
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12/31/2020
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
This paper addresses the problem of computing dense correspondence betwe...
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12/05/2020
ParaNet: Deep Regular Representation for 3D Point Clouds
Although convolutional neural networks have achieved remarkable success ...
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11/25/2020
Deep Magnification-Arbitrary Upsampling over 3D Point Clouds
This paper addresses the problem of generating dense point clouds from g...
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05/01/2020
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling
Downsampling is a commonly-used technique in 3D point cloudprocessing fo...
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02/24/2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
This paper addresses the problem of generating uniform dense point cloud...
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06/20/2019
