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 881–890 of 2326 papers

Title	Date	Tasks	Status
3D Reconstruction with Fast Dipole Sums	May 27, 2024	3D ReconstructionInverse Rendering	—Unverified
3D Instance Segmentation via Multi-Task Metric Learning	Jun 20, 2019	3D Instance Segmentation3D Reconstruction	—Unverified
Structure from Motion-based Motion Estimation and 3D Reconstruction of Unknown Shaped Space Debris	Aug 2, 2024	3D ReconstructionMotion Estimation	—Unverified
Coral Model Generation from Single Images for Virtual Reality Applications	Sep 4, 2024	3D Reconstruction	—Unverified
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models	Jul 1, 2017	3D ReconstructionObject	—Unverified
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image	Jun 26, 2025	3D Generation3D Reconstruction	—Unverified
Geometric Scene Parsing with Hierarchical LSTM	Apr 7, 2016	3D ReconstructionRelation Prediction	—Unverified
Geometric Prior-Guided Neural Implicit Surface Reconstruction in the Wild	May 12, 2025	3D geometry3D Reconstruction	—Unverified
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale	Nov 25, 2020	3D Reconstruction	—Unverified
An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan	Jul 11, 2025	3D ReconstructionOptical Flow Estimation	—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