3D Reconstruction

3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.

Image: Gwak et al

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1926–1950 of 2326 papers

Title	Date	Tasks	Status
S&CNet: Monocular Depth Completion for Autonomous Systems and 3D Reconstruction	Jul 13, 2019	3D ReconstructionAutonomous Driving	—Unverified
Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction	Jul 8, 2019	3D ReconstructionGenerating 3D Point Clouds	—Unverified
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network	Jul 1, 2019	3D ReconstructionDepth Estimation	—Unverified
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes	Jul 1, 2019	3D Reconstruction3D Volumetric Reconstruction	CodeCode Available
A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences	Jun 28, 2019	3D Reconstruction	—Unverified
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging	Jun 25, 2019	3D ReconstructionDecision Making	—Unverified
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction	Jun 25, 2019	3D Reconstruction	—Unverified
3D Instance Segmentation via Multi-Task Metric Learning	Jun 20, 2019	3D Instance Segmentation3D Reconstruction	—Unverified
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency	Jun 19, 2019	3D Pose Estimation3D Reconstruction	—Unverified
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views	Jun 19, 2019	3D ReconstructionDepth Estimation	—Unverified
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem	Jun 18, 2019	3D ReconstructionComputational Efficiency	CodeCode Available
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era	Jun 15, 2019	3D Object Reconstruction3D Reconstruction	—Unverified
StereoDRNet: Dilated Residual StereoNet	Jun 1, 2019	3D ReconstructionStereo Depth Estimation	—Unverified
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera	Jun 1, 2019	3D Reconstruction3D Scene Reconstruction	—Unverified
HoloPose: Holistic 3D Human Reconstruction In-The-Wild	Jun 1, 2019	3D Human Pose Estimation3D Human Reconstruction	—Unverified
Large-Scale, Metric Structure From Motion for Unordered Light Fields	Jun 1, 2019	3D Reconstruction	—Unverified
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features	Jun 1, 2019	3D ReconstructionIndoor Localization	CodeCode Available
Learning Non-Volumetric Depth Fusion Using Successive Reprojections	Jun 1, 2019	3D ReconstructionDepth Estimation	CodeCode Available
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion	May 30, 2019	3D Reconstructionchannel selection	—Unverified
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction	May 26, 2019	3D ReconstructionSingle-View 3D Reconstruction	CodeCode Available
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects	May 24, 2019	3D ReconstructionDimensionality Reduction	—Unverified
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes	May 23, 2019	3D ReconstructionRGB-D Reconstruction	—Unverified
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration	May 23, 2019	3D ReconstructionSensor Fusion	—Unverified
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes	May 23, 2019	3D Reconstruction	CodeCode Available
Separating Overlapping Tissue Layers from Microscopy Images	May 22, 2019	3D Reconstruction	—Unverified

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All datasets DTU ShapeNet Data3D−R2N2 Scan2CAD 3DPeople Aria Digital Twin Dataset Aria Synthetic Environments ScanNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	3D-R2N2	Overall	0.63	—	Unverified
2	Gipuma	Overall	0.58	—	Unverified
3	COLMAP	Overall	0.53	—	Unverified
4	MVSNet	Overall	0.46	—	Unverified
5	Vis-MVSNet	Overall	0.37	—	Unverified
6	AA-RMVSNet	Overall	0.36	—	Unverified
7	Cas-MVSNet	Overall	0.36	—	Unverified
8	EPP-MVSNet	Overall	0.36	—	Unverified
9	PatchmatchNet	Overall	0.35	—	Unverified
10	CVP-MVSNet	Overall	0.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MD-GON	IoU	92.8	—	Unverified
2	POCO	IoU	92.6	—	Unverified
3	FS-SDF	IoU	91.2	—	Unverified
4	DP-ConvONet	IoU	89.5	—	Unverified
5	ConvONet	IoU	88.4	—	Unverified
6	ONet	IoU	76.1	—	Unverified
7	EVolT	IoU	73.8	—	Unverified
8	ZubicLio	IoU	65.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AttSets	3DIoU	0.64	—	Unverified
2	PSGN	3DIoU	0.64	—	Unverified
3	OGN	3DIoU	0.6	—	Unverified
4	3D-R2N2	3DIoU	0.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Scan2CAD	Average Accuracy	31.68	—	Unverified
2	3DMatch	Average Accuracy	10.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVCP	Chamfer	10	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EVL	Accuracy	18.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EVL	Accuracy	5.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Atlas (finetuned)	3DIoU	89.4	—	Unverified