Browse > Computer Vision > 3D > 3D Reconstruction

3D Reconstruction

57 papers with code · Computer Vision
Subtask of 3D

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Latest papers with code

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

CVPR 2019 mihaidusmanu/d2-net

In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions.

3D RECONSTRUCTION

126
01 Jun 2019

Learning Non-Volumetric Depth Fusion Using Successive Reprojections

CVPR 2019 simon-donne/defusr

Given a set of input views, multi-view stereopsis techniques estimate depth maps to represent the 3D reconstruction of the scene; these are fused into a single, consistent, reconstruction -- most often a point cloud.

3D RECONSTRUCTION DEPTH ESTIMATION

15
01 Jun 2019

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

26 May 2019laughtervv/DISN

Combining global and local features significantly improves the accuracy of the predicted signed distance field.

3D RECONSTRUCTION SINGLE-VIEW 3D RECONSTRUCTION

27
26 May 2019

Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes

CVPR 2019 ziquan111/RobustPCLReconstruction

Furthermore, we show that by using a Gaussian-Uniform mixture model, our approach degenerates to the formulation of a state-of-the-art approach for robust indoor reconstruction.

3D RECONSTRUCTION

45
23 May 2019

Learning Perspective Undistortion of Portraits

18 May 2019bearjoy730/Learning-Perspective-Undistortion-of-Portraits

In contrast to the previous state-of-the-art approach, our method handles even portraits with extreme perspective distortion, as we avoid the inaccurate and error-prone step of first fitting a 3D face model.

3D RECONSTRUCTION FACE RECOGNITION

6
18 May 2019

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

9 May 2019mihaidusmanu/d2-net

In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions.

3D RECONSTRUCTION

126
09 May 2019

Learning Character-Agnostic Motion for Motion Retargeting in 2D

5 May 2019ChrisWu1997/2D-Motion-Retargeting

In order to achieve our goal, we learn to extract, directly from a video, a high-level latent motion representation, which is invariant to the skeleton geometry and the camera view.

3D RECONSTRUCTION

64
05 May 2019

Single Image 3D Hand Reconstruction with Mesh Convolutions

4 May 2019dkulon/hand-reconstruction

In this paper, we demonstrate an alternative solution that is based on the idea of encoding images into a latent non-linear representation of meshes.

3D RECONSTRUCTION

17
04 May 2019

Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction

CVPR 2019 weiyithu/OptimizeMVS

In this paper, we present a new perspective towards image-based shape generation.

3D RECONSTRUCTION

14
14 Apr 2019

Transformable Bottleneck Networks

13 Apr 2019kyleolsz/TB-Networks

We propose a novel approach to performing fine-grained 3D manipulation of image content via a convolutional neural network, which we call the Transformable Bottleneck Network (TBN).

3D RECONSTRUCTION NOVEL VIEW SYNTHESIS

35
13 Apr 2019