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 251–260 of 2326 papers

Title	Date	Tasks	Status	Hype
Free3D: Consistent Novel View Synthesis without 3D Representation	Dec 7, 2023	3D ReconstructionNovel View Synthesis	CodeCode Available	1
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction	Aug 19, 2021	3D ReconstructionGarment Reconstruction	CodeCode Available	1
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes	Aug 11, 2021	3D ReconstructionSemantic Segmentation	CodeCode Available	1
Learning Deformable Tetrahedral Meshes for 3D Reconstruction	Nov 3, 2020	3D Reconstruction	CodeCode Available	1
f-SfT: Shape-From-Template With a Physics-Based Deformation Model	Jan 1, 2022	3D ReconstructionPhysical Simulations	CodeCode Available	1
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle	Dec 6, 2023	3DGS3D Reconstruction	CodeCode Available	1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior Learning	Mar 8, 2023	3D ReconstructionNeRF	CodeCode Available	1
Fast and Robust Iterative Closest Point	Jul 15, 2020	3D Reconstruction	CodeCode Available	1
A geometry-aware deep network for depth estimation in monocular endoscopy	Apr 20, 2023	3D ReconstructionAnatomy	CodeCode Available	1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction	Nov 1, 2021	3D Face 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