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06/01/2023
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Geodesics are essential in many geometry processing applications. Howeve...
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01/15/2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
In this paper, we study the problem of embedding the high-dimensional sp...
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11/30/2022
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
The recent neural implicit representation-based methods have greatly adv...
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07/12/2022
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
Motivated by the intuition that the critical step of localizing a 2D ima...
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03/29/2022
Light Field Depth Estimation Based on Stitched-EPI
Depth estimation is one of the most essential problems for light field a...
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07/13/2021
PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows
Point cloud upsampling aims to generate dense point clouds from given sp...
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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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01/11/2019
