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 721–730 of 2326 papers

Title	Date	Tasks	Status	Score
Learning a Multi-View Stereo Machine	Aug 17, 2017	3D geometry3D Reconstruction	CodeCode Available	5
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology	Sep 11, 2020	3D Reconstructionvalid	CodeCode Available	5
Learning 3D Human Shape and Pose from Dense Body Parts	Dec 31, 2019	3D human pose and shape estimation3D Human Pose Estimation	CodeCode Available	5
Learning Implicit Fields for Generative Shape Modeling	Dec 6, 2018	3D Reconstruction3D Shape Representation	CodeCode Available	5
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes	Jul 15, 2017	3D ReconstructionObject	CodeCode Available	5
IVUS-Net: An Intravascular Ultrasound Segmentation Network	Jun 10, 2018	3D ReconstructionGPU	CodeCode Available	5
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images	Nov 2, 2023	3D ReconstructionMotion Estimation	CodeCode Available	5
LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians	Apr 25, 2024	3D Object Reconstruction3D Reconstruction	CodeCode Available	5
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting	Aug 4, 2017	3D ReconstructionSurface Reconstruction	CodeCode Available	5
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction	Feb 19, 2025	3D Object Reconstruction3D Reconstruction	CodeCode Available	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