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 901–910 of 2326 papers

Title	Date	Tasks	Status	Hype
REF^2-NeRF: Reflection and Refraction aware Neural Radiance Field	Nov 28, 2023	3D ReconstructionNeRF	CodeCode Available	0
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering	Nov 28, 2023	3D Reconstruction	—Unverified	0
Rethinking Directional Integration in Neural Radiance Fields	Nov 28, 2023	3D ReconstructionDecoder	—Unverified	0
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models	Nov 28, 2023	3D Reconstruction	—Unverified	0
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant Nodes	Nov 28, 2023	3D Reconstruction	CodeCode Available	1
Weakly-Supervised 3D Reconstruction of Clothed Humans via Normal Maps	Nov 27, 2023	3D Reconstruction	—Unverified	0
Obj-NeRF: Extract Object NeRFs from Multi-view Images	Nov 26, 2023	3D geometry3D Reconstruction	—Unverified	0
Multi-task Planar Reconstruction with Feature Warping Guidance	Nov 25, 2023	3D ReconstructionInstance Segmentation	CodeCode Available	0
RSB-Pose: Robust Short-Baseline Binocular 3D Human Pose Estimation with Occlusion Handling	Nov 24, 2023	3D Human Pose Estimation3D Reconstruction	—Unverified	0
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence	Nov 23, 2023	3D Reconstruction6D 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