Browse > Computer Vision > 3D > 3D Reconstruction

3D Reconstruction

47 papers with code · Computer Vision
Subtask of 3D

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Disparity-Augmented Trajectories for Human Activity Recognition

14 May 2019Pejman Habashi et al

Numerous methods for human activity recognition have been proposed in the past two decades.

3D RECONSTRUCTION HUMAN ACTIVITY RECOGNITION

14 May 2019

Structure from Articulated Motion: An Accurate and Stable Monocular 3D Reconstruction Approach without Training Data

12 May 2019Onorina Kovalenko et al

Model-based approaches do not rely on training data but show lower accuracy on public benchmarks.

3D RECONSTRUCTION

12 May 2019

On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes

10 May 2019Stefan Rudolph et al

Furthermore, they have to be taken into consideration when self-improving the own configuration decisions based on a feedback loop concept, e. g., known from the SASO domain or the Autonomic and Organic Computing initiatives.

3D RECONSTRUCTION

10 May 2019

What Do Single-view 3D Reconstruction Networks Learn?

9 May 2019Maxim Tatarchenko et al

Convolutional networks for single-view object reconstruction have shown impressive performance and have become a popular subject of research.

3D RECONSTRUCTION IMAGE CLASSIFICATION OBJECT RECONSTRUCTION SINGLE-VIEW 3D RECONSTRUCTION

09 May 2019

Endoscopy artifact detection (EAD 2019) challenge dataset

8 May 2019Sharib Ali et al

Endoscopic artifacts are a core challenge in facilitating the diagnosis and treatment of diseases in hollow organs.

3D RECONSTRUCTION

08 May 2019

IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction

27 Apr 2019Soshi Shimada et al

The majority of the existing methods for non-rigid 3D surface regression from monocular 2D images require an object template or point tracks over multiple frames as an input, and are still far from real-time processing rates.

3D RECONSTRUCTION

27 Apr 2019

Neural Rerendering in the Wild

8 Apr 2019Moustafa Meshry et al

Starting from internet photos of a tourist landmark, we apply traditional 3D reconstruction to register the photos and approximate the scene as a point cloud.

3D RECONSTRUCTION

08 Apr 2019

StereoDRNet: Dilated Residual Stereo Net

3 Apr 2019Rohan Chabra et al

We propose a system that uses a convolution neural network (CNN) to estimate depth from a stereo pair followed by volumetric fusion of the predicted depth maps to produce a 3D reconstruction of a scene.

3D RECONSTRUCTION

03 Apr 2019

Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes

1 Apr 2019Yuki Fujimura et al

The scattering component is saturated, so it does not depend on the scene depth, and received signals bouncing off distant points are negligible due to light attenuation in the participating media, so the observation of such a point contains only a scattering component.

3D RECONSTRUCTION DEPTH ESTIMATION

01 Apr 2019

Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

27 Mar 2019Xinzhu Ma et al

To this end, we first leverage a stand-alone module to transform the input data from 2D image plane to 3D point clouds space for a better input representation, then we perform the 3D detection using PointNet backbone net to obtain objects 3D locations, dimensions and orientations.

3D OBJECT DETECTION 3D RECONSTRUCTION AUTONOMOUS DRIVING

27 Mar 2019