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 1121–1130 of 2326 papers

Title	Date	Tasks	Status	Hype
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes	Apr 6, 2023	3D ReconstructionInverse Rendering	—Unverified	0
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields	Apr 6, 2023	3D ReconstructionDepth Estimation	—Unverified	0
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction	Apr 6, 2023	3D ReconstructionExposure Correction	—Unverified	0
Image Stabilization for Hololens Camera in Remote Collaboration	Apr 5, 2023	3D ReconstructionNeRF	CodeCode Available	0
Real-Time Dense 3D Mapping of Underwater Environments	Apr 5, 2023	3D ReconstructionCPU	CodeCode Available	1
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots	Apr 4, 2023	3D ReconstructionAutonomous Driving	—Unverified	0
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction	Apr 4, 2023	3D geometry3D Reconstruction	CodeCode Available	1
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response	Apr 4, 2023	3D ReconstructionDisaster Response	—Unverified	0
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry	Apr 1, 2023	3D Reconstruction3D Scene Reconstruction	CodeCode Available	1
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D	Apr 1, 2023	3D ReconstructionElectron Tomography	CodeCode Available	1

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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