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 1101–1110 of 2326 papers

Title	Date	Tasks	Status
DSG-World: Learning a 3D Gaussian World Model from Dual State Videos	Jun 5, 2025	3D Reconstruction	—Unverified
Drought Stress Classification using 3D Plant Models	Sep 21, 2017	3D ReconstructionClassification	—Unverified
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion	Apr 3, 2024	3D geometry3D Reconstruction	—Unverified
3D Reconstruction from public webcams	Aug 21, 2021	3D Reconstruction3D Scene Reconstruction	—Unverified
Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction	Jul 8, 2019	3D ReconstructionGenerating 3D Point Clouds	—Unverified
DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery	Mar 21, 2025	3DGS3D Reconstruction	—Unverified
DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing Neural Radiance Fields	Mar 8, 2023	3D ReconstructionNeRF	—Unverified
Bayesian Fields: Task-driven Open-Set Semantic Gaussian Splatting	Mar 7, 2025	3D Reconstruction	—Unverified
Drone-based AI and 3D Reconstruction for Digital Twin Augmentation	May 20, 2021	3D ReconstructionDefect Detection	—Unverified
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction	Nov 20, 2019	3D Reconstruction3D Shape Reconstruction	—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