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

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Showing 811–820 of 2326 papers

Title	Date	Tasks	Status
Tech Report: Divide and Conquer 3D Real-Time Reconstruction for Improved IGS	Dec 31, 2024	3D ReconstructionDepth Estimation	—Unverified
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models	Dec 31, 2024	3D Generation3D Reconstruction	—Unverified
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM	Dec 31, 2024	3D Instance Segmentation3D Reconstruction	CodeCode Available
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI	Dec 30, 2024	3D ReconstructionCPU	—Unverified
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models	Dec 27, 2024	3D ReconstructionAll	—Unverified
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation	Dec 24, 2024	3D ReconstructionMRI Reconstruction	—Unverified
PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models	Dec 24, 2024	3D Generation3D Reconstruction	—Unverified
LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source Photometric Stereo	Dec 21, 2024	3D ReconstructionCamera Calibration	—Unverified
Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary	Dec 21, 2024	3D Reconstruction	CodeCode Available
EasyVis2: A Real Time Multi-view 3D Visualization for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose	Dec 21, 2024	3D ReconstructionPose Estimation	—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