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 951–960 of 2326 papers

Title	Date	Tasks	Status
IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations	Dec 16, 2024	3D ReconstructionImage Relighting	—Unverified
HGDNet: A Height-Hierarchy Guided Dual-Decoder Network for Single View Building Extraction and Height Estimation	Aug 10, 2023	3D ReconstructionDecoder	—Unverified
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement	Sep 17, 2024	3DGS3D Reconstruction	—Unverified
Building Proteins in a Day: Efficient 3D Molecular Reconstruction	Apr 14, 2015	3D ReconstructionStochastic Optimization	—Unverified
Enhancing Face Recognition With Self-Supervised 3D Reconstruction	Jan 1, 2022	3D Face Reconstruction3D Reconstruction	—Unverified
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction	Sep 20, 2022	3D Reconstruction	—Unverified
High-Accuracy Facial Depth Models derived from 3D Synthetic Data	Mar 26, 2020	3D ReconstructionDepth Estimation	—Unverified
Higher Order Function Networks for View Planning and Multi-View Reconstruction	Oct 4, 2019	3D ReconstructionObject	—Unverified
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation	Nov 7, 2024	3D ReconstructionDepth Estimation	—Unverified
3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction	Aug 5, 2019	3D ReconstructionObject	—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