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 1581–1590 of 2326 papers

Title	Date	Tasks	Status
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions	Mar 30, 2022	3D ReconstructionInverse Rendering	—Unverified
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian	Mar 29, 2022	3D ReconstructionImage Manipulation	—Unverified
Towards Learning Neural Representations from Shadows	Mar 29, 2022	3D ReconstructionNeRF	—Unverified
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers	Mar 24, 2022	3D Pose Estimation3D Reconstruction	—Unverified
A Real World Dataset for Multi-view 3D Reconstruction	Mar 22, 2022	3D ReconstructionMulti-View 3D Reconstruction	—Unverified
DiFT: Differentiable Differential Feature Transform for Multi-View Stereo	Mar 16, 2022	3D Reconstruction	—Unverified
VPFusion: Joint 3D Volume and Pixel-Aligned Feature Fusion for Single and Multi-view 3D Reconstruction	Mar 14, 2022	3D Reconstruction3D Shape Reconstruction	—Unverified
Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers	Mar 8, 2022	2D Semantic Segmentation3D Reconstruction	—Unverified
Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields	Mar 3, 2022	3D Reconstruction	—Unverified
Sketched RT3D: How to reconstruct billions of photons per second	Mar 2, 2022	3D Reconstruction	CodeCode Available

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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