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 1021–1030 of 2326 papers

Title	Date	Tasks	Status	Hype
Reconstructing Three-Dimensional Models of Interacting Humans	Aug 3, 2023	3D ReconstructionContact Detection	CodeCode Available	1
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network	Aug 2, 2023	3D ReconstructionGraph Neural Network	—Unverified	0
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction	Aug 1, 2023	3D Reconstruction	—Unverified	0
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection	Jul 31, 2023	3D ReconstructionComputed Tomography (CT)	—Unverified	0
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach	Jul 27, 2023	3D ReconstructionRobot Navigation	—Unverified	0
FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene	Jul 27, 2023	3D ReconstructionData Augmentation	—Unverified	0
Creative Birds: Self-Supervised Single-View 3D Style Transfer	Jul 26, 2023	3D ReconstructionStyle Transfer	CodeCode Available	1
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction	Jul 23, 2023	3D ReconstructionObject	CodeCode Available	0
Replay: Multi-modal Multi-view Acted Videos for Casual Holography	Jul 22, 2023	3D ReconstructionNovel View Synthesis	CodeCode Available	1
SimCol3D -- 3D Reconstruction during Colonoscopy Challenge	Jul 20, 2023	3D ReconstructionDepth Estimation	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