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 451–460 of 2326 papers

Title	Date	Tasks	Status	Hype
Evaluate Geometry of Radiance Fields with Low-frequency Color Prior	Apr 10, 2023	3D ReconstructionNovel View Synthesis	CodeCode Available	1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting	May 23, 2024	3D ReconstructionDepth Estimation	CodeCode Available	1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning	Sep 19, 2024	3D ReconstructionZero-Shot Learning	CodeCode Available	1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance Fields	Jun 8, 2023	3D ReconstructionNeRF	CodeCode Available	1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry	Apr 1, 2023	3D Reconstruction3D Scene Reconstruction	CodeCode Available	1
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision	Jun 19, 2025	3DGS3D Reconstruction	CodeCode Available	1
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans	May 23, 2023	3D Reconstruction3D visual grounding	CodeCode Available	1
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers	Jul 27, 2022	3D Hand Pose Estimation3D Human Pose Estimation	CodeCode Available	1
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera	Dec 21, 2023	3D Pose Estimation3D Reconstruction	CodeCode Available	1
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond	Apr 30, 2025	3DGS3D Reconstruction	CodeCode Available	1

Show:10 25 50

← PrevPage 46 of 233Next →

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