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

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Showing 1531–1540 of 2326 papers

Title	Date	Tasks	Status
RDG-GS: Relative Depth Guidance with Gaussian Splatting for Real-time Sparse-View 3D Rendering	Jan 19, 2025	3D ReconstructionDepth Estimation	—Unverified
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets	Oct 29, 2023	3D Reconstruction	—Unverified
3D Mesh Editing using Masked LRMs	Dec 11, 2024	3D Reconstruction	—Unverified
RealFusion: 360deg Reconstruction of Any Object From a Single Image	Jan 1, 2023	3D ReconstructionObject	—Unverified
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions	Oct 10, 2019	3D ReconstructionSimultaneous Localization and Mapping	—Unverified
Real-time 3D Reconstruction on Construction Site using Visual SLAM and UAV	Dec 19, 2017	3D ReconstructionSimultaneous Localization and Mapping	—Unverified
Real-Time 3D Shape of Micro-Details	Feb 16, 2018	3D Reconstruction3D Shape Reconstruction	—Unverified
Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates	Nov 4, 2020	3D Reconstruction	—Unverified
Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants	Mar 17, 2025	3D ReconstructionFeature Importance	—Unverified
Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs	Apr 21, 2021	3D ReconstructionSimultaneous Localization and Mapping	—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