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 671–680 of 2326 papers

Title	Date	Tasks	Status
Analysis of Sampling Strategies for Implicit 3D Reconstruction	Apr 8, 2023	3D Reconstruction	—Unverified
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction	Apr 14, 2019	3D ReconstructionDiversity	—Unverified
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning	Dec 28, 2020	3D ReconstructionMedical Diagnosis	—Unverified
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion	May 30, 2019	3D Reconstructionchannel selection	—Unverified
3D-HGS: 3D Half-Gaussian Splatting	Jun 4, 2024	3D Reconstruction3D Scene Reconstruction	—Unverified
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion	Oct 9, 2024	3DGS3D Reconstruction	—Unverified
Conceptual Study and Performance Analysis of Tandem Dual-Antenna Spaceborne SAR Interferometry	Jun 17, 2023	3D Reconstruction	—Unverified
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping	May 17, 2019	3D ReconstructionImage Reconstruction	—Unverified
Computer vision tasks for intelligent aerospace missions: An overview	Jul 9, 2024	3D ReconstructionPose Estimation	—Unverified
Computer vision in automated parking systems: Design, implementation and challenges	Apr 26, 2021	3D ReconstructionAutonomous Driving	—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