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 2051–2060 of 2326 papers

Title	Date	Tasks	Status
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data	Jul 29, 2018	3D Reconstruction	—Unverified
Experimental Results of a 3D Millimeter-Wave Compressive-Reflector-Antenna Imaging System	Jul 28, 2018	3D ReconstructionCompressive Sensing	—Unverified
From handcrafted to deep local features	Jul 26, 2018	3D ReconstructionBIG-bench Machine Learning	CodeCode Available
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision	Jul 24, 2018	3D Reconstruction	—Unverified
The Double Sphere Camera Model	Jul 24, 2018	3D ReconstructionAutonomous Driving	CodeCode Available
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image	Jul 20, 2018	3D Point Cloud Reconstruction3D Reconstruction	CodeCode Available
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints	Jul 17, 2018	3D Reconstruction	CodeCode Available
Specular-to-Diffuse Translation for Multi-View Reconstruction	Jul 14, 2018	3D ReconstructionGenerative Adversarial Network	—Unverified
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction	Jul 6, 2018	3D Reconstruction	—Unverified
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry	Jul 6, 2018	3D ReconstructionDepth Estimation	—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