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3D Reconstruction

59 papers with code · Computer Vision
Subtask of 3D

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Structure-From-Motion Revisited

CVPR 2016 colmap/colmap

Incremental Structure-from-Motion is a prevalent strategy for 3D reconstruction from unordered image collections.

3D RECONSTRUCTION

Weakly supervised 3D Reconstruction with Adversarial Constraint

31 May 2017chrischoy/3D-R2N2

Supervised 3D reconstruction has witnessed a significant progress through the use of deep neural networks.

3D RECONSTRUCTION

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

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

17 Oct 2017facebookresearch/SparseConvNet

We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.

3D RECONSTRUCTION

3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

CVPR 2017 andyzeng/3dmatch-toolbox

To amass training data for our model, we propose a self-supervised feature learning method that leverages the millions of correspondence labels found in existing RGB-D reconstructions.

3D RECONSTRUCTION

On Learning 3D Face Morphable Model from In-the-wild Images

28 Aug 2018tranluan/Nonlinear_Face_3DMM

To address these problems, this paper proposes an innovative framework to learn a nonlinear 3DMM model from a large set of in-the-wild face images, without collecting 3D face scans.

3D RECONSTRUCTION FACE ALIGNMENT IMAGE GENERATION

Nonlinear 3D Face Morphable Model

CVPR 2018 tranluan/Nonlinear_Face_3DMM

As a classic statistical model of 3D facial shape and texture, 3D Morphable Model (3DMM) is widely used in facial analysis, e. g., model fitting, image synthesis.

3D RECONSTRUCTION FACE ALIGNMENT IMAGE GENERATION

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

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

CVPR 2019 vchoutas/smplify-x

We use the new method, SMPLify-X, to fit SMPL-X to both controlled images and images in the wild.

3D HUMAN POSE ESTIMATION 3D RECONSTRUCTION

Learning a Multi-View Stereo Machine

NeurIPS 2017 akar43/lsm

We thoroughly evaluate our approach on the ShapeNet dataset and demonstrate the benefits over classical approaches as well as recent learning based methods.

3D RECONSTRUCTION