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Object Reconstruction

10 papers with code · Computer Vision

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Greatest papers with code

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

2 Apr 2016chrischoy/3D-R2N2

Inspired by the recent success of methods that employ shape priors to achieve robust 3D reconstructions, we propose a novel recurrent neural network architecture that we call the 3D Recurrent Reconstruction Neural Network (3D-R2N2).

3D OBJECT RECONSTRUCTION 3D 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 POINT CLOUD GENERATION

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

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 3D SEMANTIC SEGMENTATION SEMANTIC SEGMENTATION

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

CVPR 2017 pointcloudlearning/3D-Deep-Learning-Paper-List

Our final solution is a conditional shape sampler, capable of predicting multiple plausible 3D point clouds from an input image.

#3 best model for 3D Reconstruction on Data3D−R2N2 (using extra training data)

3D OBJECT RECONSTRUCTION 3D OBJECT RECONSTRUCTION FROM A SINGLE IMAGE 3D RECONSTRUCTION

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