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 911–920 of 2326 papers

Title	Date	Tasks	Status
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data	Nov 11, 2023	3D Object Reconstruction3D Reconstruction	—Unverified
High-fidelity 3D Reconstruction of Plants using Neural Radiance Field	Nov 7, 2023	3D ReconstructionNeRF	—Unverified
ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization	May 26, 2025	3DGS3D Reconstruction	—Unverified
ERF: Explicit Radiance Field Reconstruction From Scratch	Feb 28, 2022	3D Reconstruction	—Unverified
Equivalent Constraints for Two-View Geometry: Pose Solution/Pure Rotation Identification and 3D Reconstruction	Oct 13, 2018	3D ReconstructionPose Estimation	—Unverified
GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction	May 23, 2018	3D ReconstructionCPU	—Unverified
Advanced 3D Imaging Approach to TSV/TGV Metrology and Inspection Using Only Optical Microscopy	May 8, 2025	3D Reconstruction	—Unverified
Bundle Adjustment Revisited	Dec 9, 2019	3D Reconstruction	—Unverified
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images	Mar 18, 2020	3D ReconstructionDecision Making	—Unverified
Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction	Jun 1, 2015	3D Reconstruction3D Shape Reconstruction	—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