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 421–430 of 2326 papers

Title	Date	Tasks	Status	Hype	Score
Multi-View Azimuth Stereo via Tangent Space Consistency	Mar 29, 2023	3D Reconstruction3D Shape Reconstruction	CodeCode Available	1	5
Learning Accurate Dense Correspondences and When to Trust Them	Jan 5, 2021	3D ReconstructionDense Pixel Correspondence Estimation	CodeCode Available	1	5
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction	Mar 24, 2020	3D ReconstructionSurface Reconstruction	CodeCode Available	1	5
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion	Jul 21, 2022	3D ReconstructionDepth Estimation	CodeCode Available	1	5
Learning Deformable Tetrahedral Meshes for 3D Reconstruction	Nov 3, 2020	3D Reconstruction	CodeCode Available	1	5
Multimodal 3D Fusion and In-Situ Learning for Spatially Aware AI	Oct 6, 2024	3D ReconstructionObject	CodeCode Available	1	5
Learning Implicit Representation for Reconstructing Articulated Objects	Jan 16, 2024	3D ReconstructionObject	CodeCode Available	1	5
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos	Apr 17, 2023	3D ReconstructionCamera Pose Estimation	CodeCode Available	1	5
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera	Dec 21, 2023	3D Pose Estimation3D Reconstruction	CodeCode Available	1	5
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond	Apr 30, 2025	3DGS3D Reconstruction	CodeCode Available	1	5

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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