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 1651–1660 of 2326 papers

Title	Date	Tasks	Status
Hyperspectral 3D Mapping of Underwater Environments	Oct 13, 2021	3D ReconstructionSimultaneous Localization and Mapping	—Unverified
Exploiting 3D Shape Bias towards Robust Vision	Oct 12, 2021	3D geometry3D Reconstruction	—Unverified
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo	Oct 11, 2021	3D geometry3D Reconstruction	—Unverified
Automatic annotation of visual deep neural networks	Oct 8, 2021	3D ReconstructionFace Recognition	—Unverified
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network	Oct 7, 2021	3D Reconstruction3D Shape Classification	CodeCode Available
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling	Oct 6, 2021	3D Reconstruction	—Unverified
Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction	Oct 5, 2021	3D Reconstruction3D Scene Reconstruction	—Unverified
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video	Oct 5, 2021	3D geometry3D Reconstruction	—Unverified
Identity-Expression Ambiguity in 3D Morphable Face Models	Sep 29, 2021	3D Reconstruction3D Shape Generation	—Unverified
Geon3D: Exploiting 3D Shape Bias towards Building Robust Machine Vision	Sep 29, 2021	3D geometry3D 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