DC-DFFN: Densely Connected Deep Feature Fusion Network With Sign Agnostic Learning for Implicit Shape Representation

DC-DFFN: Densely Connected Deep Feature Fusion Network With Sign Agnostic Learning for Implicit Shape Representation

Reconstructing 3D surfaces from raw point cloud data is still a challenging and complex problem in computer vision and graphics. Recently emerged neural implicit representations model 3D surfaces implicitly in arbitrary resolution and diverse topologies. In this domain, most of the studies have so f...

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Bibliographic Details
Main Authors: Abol Basher, Jani Boutellier
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
implicit representation
dense feature fusion
zero-label set
surface reconstruction
ShapeNet
Online Access:https://ieeexplore.ieee.org/document/10122917/

Internet

https://ieeexplore.ieee.org/document/10122917/

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