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 1211–1220 of 2326 papers

Title	Date	Tasks	Status
Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments	Aug 24, 2023	3D ReconstructionNeRF	—Unverified
Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis	Nov 25, 2020	3D ReconstructionSegmentation	—Unverified
Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints	Sep 18, 2023	3D Reconstruction3D Scene Reconstruction	—Unverified
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer	Oct 24, 2020	3D ReconstructionDimensionality Reduction	—Unverified
InAR:Inverse Augmented Reality	Aug 11, 2015	3D Reconstruction	—Unverified
Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images	Mar 26, 2020	3D ReconstructionVocal Bursts Valence Prediction	—Unverified
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction	Nov 24, 2020	3D Action Recognition3D Reconstruction	—Unverified
Indoor 3D Reconstruction with an Unknown Camera-Projector Pair	Jul 2, 2024	3D Reconstruction	—Unverified
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers	Jun 17, 2021	3D Human Pose Estimation3D Human Reconstruction	—Unverified
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey	Mar 9, 2018	3D Reconstructionobject-detection	—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