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 1811–1820 of 2326 papers

Title	Date	Tasks	Status
A Representation Theory Perspective on Simultaneous Alignment and Classification	Jul 12, 2016	3D ReconstructionClassification	—Unverified
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping	Dec 15, 2024	3D ReconstructionAttribute	—Unverified
A Review on Viewpoints and Path-planning for UAV-based 3D Reconstruction	May 7, 2022	3D Reconstruction	—Unverified
ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization	Aug 23, 2023	3D ReconstructionStyle Transfer	—Unverified
ARM: Appearance Reconstruction Model for Relightable 3D Generation	Nov 16, 2024	3D Generation3D Reconstruction	—Unverified
A Robust Error-Resistant View Selection Method for 3D Reconstruction	Feb 18, 2024	3D Reconstruction	—Unverified
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation	Oct 15, 2022	3D ReconstructionLighting Estimation	—Unverified
Articulated and Restricted Motion Subspaces and Their Signatures	Jun 1, 2013	3D ReconstructionTranslation	—Unverified
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency	Jun 19, 2019	3D Pose Estimation3D Reconstruction	—Unverified
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction	Dec 14, 2018	3D Face Reconstruction3D Reconstruction	—Unverified

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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