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3D Object Reconstruction

13 papers with code · Computer Vision

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Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

ECCV 2018 nywang16/Pixel2Mesh

We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image.

3D OBJECT RECONSTRUCTION

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

21 Jun 2017chenhsuanlin/3D-point-cloud-generation

Conventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones.

3D OBJECT RECONSTRUCTION

3D Object Reconstruction from a Single Depth View with Adversarial Learning

26 Aug 2017Yang7879/3D-RecGAN

In this paper, we propose a novel 3D-RecGAN approach, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial networks.

3D OBJECT RECONSTRUCTION

Dense 3D Object Reconstruction from a Single Depth View

1 Feb 2018Yang7879/3D-RecGAN-extended

Unlike existing work which typically requires multiple views of the same object or class labels to recover the full 3D geometry, the proposed 3D-RecGAN++ only takes the voxel grid representation of a depth view of the object as input, and is able to generate the complete 3D occupancy grid with a high resolution of 256^3 by recovering the occluded/missing regions.

3D OBJECT RECONSTRUCTION

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

31 Jan 2019EdwardSmith1884/GEOMetrics

Mesh models are a promising approach for encoding the structure of 3D objects.

3D OBJECT RECONSTRUCTION

Learning Free-Form Deformations for 3D Object Reconstruction

29 Mar 2018jackd/template_ffd

Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge.

3D OBJECT RECONSTRUCTION 3D RECONSTRUCTION SEMANTIC SEGMENTATION

3D Point-Capsule Networks

27 Dec 2018yongheng1991/3D-point-capsule-networks

In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.

3D FEATURE MATCHING 3D GEOMETRY PERCEPTION 3D OBJECT CLASSIFICATION 3D OBJECT RECONSTRUCTION 3D PART SEGMENTATION 3D POINT CLOUD MATCHING 3D SHAPE GENERATION 3D SHAPE REPRESENTATION

Deep Single-View 3D Object Reconstruction with Visual Hull Embedding

10 Sep 2018qweas120/PSVH-3d-reconstruction

The key idea of our method is to leverage object mask and pose estimation from CNNs to assist the 3D shape learning by constructing a probabilistic single-view visual hull inside of the network.

3D OBJECT RECONSTRUCTION POSE ESTIMATION