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 471–480 of 2326 papers

Title	Date	Tasks	Status	Hype
Geodesy of irregular small bodies via neural density fields: geodesyNets	May 27, 2021	3D Reconstruction	CodeCode Available	1
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance	May 25, 2021	3D geometry3D Object Reconstruction	CodeCode Available	1
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas	Apr 30, 2021	3D ReconstructionBayesian Inference	CodeCode Available	1
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations	Apr 4, 2021	3D ReconstructionMulti-Task Learning	CodeCode Available	1
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction	Apr 2, 2021	3D Reconstruction	CodeCode Available	1
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video	Apr 1, 2021	3D geometry3D Reconstruction	CodeCode Available	1
Deep Two-View Structure-from-Motion Revisited	Apr 1, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
RetrievalFuse: Neural 3D Scene Reconstruction with a Database	Mar 31, 2021	3D Reconstruction3D Scene Reconstruction	CodeCode Available	1
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis	Mar 27, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction	Mar 23, 2021	3D Object Reconstruction3D Reconstruction	CodeCode Available	1

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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