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 791–800 of 2326 papers

Title	Date	Tasks	Status
Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy	Jan 27, 2018	3D Reconstruction	—Unverified
Feature Descriptors for Tracking by Detection: a Benchmark	Jul 21, 2016	3D ReconstructionObject Recognition	—Unverified
EV-SegNet: Semantic Segmentation for Event-based Cameras	Nov 29, 2018	3D ReconstructionSegmentation	—Unverified
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene	Jan 6, 2025	3D ReconstructionNeRF	—Unverified
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping	Dec 19, 2023	3D ReconstructionComputational Efficiency	—Unverified
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera	Jun 23, 2022	3D ReconstructionNovel View Synthesis	—Unverified
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network	Jul 30, 2022	3D ReconstructionContrastive Learning	—Unverified
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations	Mar 26, 2023	3D ReconstructionDensity Estimation	—Unverified
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces	Mar 7, 2024	3D ReconstructionEfficient Exploration	—Unverified
3D Reconstruction of Multiple Objects by mmWave Radar on UAV	Nov 3, 2022	3D Object Reconstruction3D 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