SOTAVerified

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

Showing 426450 of 2326 papers

TitleStatusHype
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume DistillationCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
OpticFusion: Multi-Modal Neural Implicit 3D Reconstruction of Microstructures by Fusing White Light Interferometry and Optical MicroscopyCode1
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkCode1
CoNeRF: Controllable Neural Radiance FieldsCode1
PatchMatch-Stereo-Panorama, a fast dense reconstruction from 360° video imagesCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop LayersCode1
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View SynthesisCode1
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D ScansCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Photometric single-view dense 3D reconstruction in endoscopyCode1
Convolutional Occupancy NetworksCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate ModelsCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo viewsCode1
PlaneMVS: 3D Plane Reconstruction from Multi-View StereoCode1
3D Pose Estimation of Two Interacting Hands from a Monocular Event CameraCode1
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified