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3D Shape Representation

7 papers with code · Computer Vision
Subtask of 3D

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Greatest papers with code

Occupancy Networks: Learning 3D Reconstruction in Function Space

CVPR 2019 LMescheder/Occupancy-Networks

With the advent of deep neural networks, learning-based approaches for 3D reconstruction have gained popularity.

3D RECONSTRUCTION 3D SHAPE REPRESENTATION

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

CVPR 2019 Facebookresearch/deepsdf

In this work, we introduce DeepSDF, a learned continuous Signed Distance Function (SDF) representation of a class of shapes that enables high quality shape representation, interpolation and completion from partial and noisy 3D input data.

3D RECONSTRUCTION 3D SHAPE REPRESENTATION

MeshNet: Mesh Neural Network for 3D Shape Representation

28 Nov 2018iMoonLab/MeshNet

However, there is little effort on using mesh data in recent years, due to the complexity and irregularity of mesh data.

3D SHAPE REPRESENTATION

Learning Implicit Fields for Generative Shape Modeling

CVPR 2019 czq142857/implicit-decoder

We advocate the use of implicit fields for learning generative models of shapes and introduce an implicit field decoder, called IM-NET, for shape generation, aimed at improving the visual quality of the generated shapes.

3D RECONSTRUCTION 3D SHAPE REPRESENTATION REPRESENTATION LEARNING SINGLE-VIEW 3D RECONSTRUCTION

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation

8 May 2019gbouritsas/Neural3DMM

Generative models for 3D geometric data arise in many important applications in 3D computer vision and graphics.

3D SHAPE REPRESENTATION REPRESENTATION LEARNING

Learning Discriminative 3D Shape Representations by View Discerning Networks

11 Aug 2018ChengXu1995/test

In this network, a Score Generation Unit is devised to evaluate the quality of each projected image with score vectors.

3D SHAPE RECOGNITION 3D SHAPE REPRESENTATION