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 2111–2120 of 2326 papers

Title	Date	Tasks	Status
A Performance Evaluation of Local Features for Image Based 3D Reconstruction	Dec 14, 2017	3D Reconstruction	—Unverified
An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing	Dec 8, 2017	3D Human Reconstruction3D Reconstruction	—Unverified
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction	Nov 29, 2017	3D Reconstruction	CodeCode Available
Small Drone Field Experiment: Data Collection & Processing	Nov 29, 2017	3D ReconstructionScene Understanding	—Unverified
Highlighting objects of interest in an image by integrating saliency and depth	Nov 28, 2017	3D Reconstruction	CodeCode Available
Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning	Nov 26, 2017	3D Reconstruction	—Unverified
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network	Nov 17, 2017	3D ReconstructionCultural Vocal Bursts Intensity Prediction	CodeCode Available
End-to-end 3D shape inverse rendering of different classes of objects from a single input image	Nov 11, 2017	3D ReconstructionDecoder	—Unverified
MarrNet: 3D Shape Reconstruction via 2.5D Sketches	Nov 8, 2017	3D Object Reconstruction3D Object Reconstruction From A Single Image	—Unverified
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning	Oct 25, 2017	3D ReconstructionBrain Segmentation	CodeCode Available

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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