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 1851–1875 of 2326 papers

Title	Date	Tasks	Status	Hype
Learning to Generate Dense Point Clouds with Textures on Multiple Categories	Dec 22, 2019	3D Reconstruction	CodeCode Available	0
Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks	Dec 18, 2019	3D ReconstructionImage Reconstruction	—Unverified	0
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo	Dec 18, 2019	3D ReconstructionPoint Clouds	CodeCode Available	0
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision	Dec 16, 2019	3D ReconstructionMulti-View 3D Reconstruction	CodeCode Available	0
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization	Dec 15, 2019	3D ReconstructionMulti-View 3D Reconstruction	CodeCode Available	0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds	Dec 15, 2019	3D ReconstructionDiversity	—Unverified	0
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching	Dec 13, 2019	3D ReconstructionGPU	CodeCode Available	1
EM-based approach to 3D reconstruction from single-waveform multispectral Lidar data	Dec 12, 2019	3D Reconstruction	—Unverified	0
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment	Dec 12, 2019	3D ReconstructionAll	CodeCode Available	0
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture	Dec 10, 2019	3D ReconstructionDensity Estimation	—Unverified	0
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data	Dec 9, 2019	3D ReconstructionRGB-D Reconstruction	CodeCode Available	1
Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model	Dec 9, 2019	3D ReconstructionPosition	—Unverified	0
Bundle Adjustment Revisited	Dec 9, 2019	3D Reconstruction	—Unverified	0
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation	Dec 6, 2019	3D Point Cloud Reconstruction3D Reconstruction	CodeCode Available	0
Perspective-consistent multifocus multiview 3D reconstruction of small objects	Dec 6, 2019	3D ReconstructionCamera Calibration	—Unverified	0
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation	Dec 3, 2019	3D ReconstructionScene Flow Estimation	—Unverified	0
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction	Dec 1, 2019	3D Reconstruction	—Unverified	0
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes	Dec 1, 2019	3D ReconstructionDecoder	—Unverified	0
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction	Dec 1, 2019	2D Pose Estimation3D Pose Estimation	CodeCode Available	0
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions	Dec 1, 2019	3D Reconstruction	CodeCode Available	0
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks	Nov 30, 2019	3D ReconstructionPoint Cloud Super Resolution	CodeCode Available	0
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans	Nov 29, 2019	3D Reconstruction	CodeCode Available	0
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness	Nov 27, 2019	3D ReconstructionPoint Clouds	CodeCode Available	0
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes	Nov 25, 2019	3D ReconstructionDecoder	CodeCode Available	0
Discriminative training of conditional random fields with probably submodular constraints	Nov 25, 2019	3D ReconstructionDenoising	—Unverified	0

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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