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 111–120 of 2326 papers

Title	Date	Tasks	Status	Hype
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo	Apr 11, 2024	3D Reconstruction	CodeCode Available	2
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer	Apr 7, 2024	3D Human Reconstruction3D Object Reconstruction	CodeCode Available	2
3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions	Apr 7, 2024	3D Reconstruction	CodeCode Available	2
OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds	Apr 6, 2024	3D Reconstruction	CodeCode Available	2
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View	Apr 4, 2024	3D Reconstruction3D Scene Reconstruction	CodeCode Available	2
The More You See in 2D, the More You Perceive in 3D	Apr 4, 2024	3D ReconstructionImage to 3D	CodeCode Available	2
Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction	Mar 28, 2024	3D geometry3D Reconstruction	CodeCode Available	2
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction	Mar 27, 2024	3D Generation3DGS	CodeCode Available	2
EgoLifter: Open-world 3D Segmentation for Egocentric Perception	Mar 26, 2024	3D ReconstructionObject	CodeCode Available	2
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos	Mar 25, 2024	3D ReconstructionAnimal Pose Estimation	CodeCode Available	2

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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