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

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Showing 1841–1850 of 2326 papers

Title	Date	Tasks	Status
A Simple and Scalable Shape Representation for 3D Reconstruction	May 10, 2020	3D ReconstructionDecoder	—Unverified
Multi-view data capture using edge-synchronised mobiles	May 7, 2020	3D ReconstructionEdge-computing	—Unverified
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation	Apr 26, 2020	3D Reconstructionchannel selection	—Unverified
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image	Apr 25, 2020	3D ReconstructionObject	—Unverified
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case	Apr 21, 2020	3D Reconstruction	CodeCode Available
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences	Apr 20, 2020	3D ReconstructionDepth Estimation	—Unverified
Calculating Pose with Vanishing Points of Visual-Sphere Perspective Model	Apr 19, 2020	3D ReconstructionCamera Calibration	—Unverified
ARCH: Animatable Reconstruction of Clothed Humans	Apr 8, 2020	3D Object Reconstruction From A Single Image3D Reconstruction	CodeCode Available
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method	Apr 3, 2020	3D ReconstructionFace Recognition	—Unverified
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images	Apr 2, 2020	3D ReconstructionStyle Transfer	—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