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 326350 of 2326 papers

TitleStatusHype
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
Fast and Robust Iterative Closest PointCode1
Free3D: Consistent Novel View Synthesis without 3D RepresentationCode1
Event-based Stereo Visual OdometryCode1
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Active 3D Shape Reconstruction from Vision and TouchCode1
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo NetworksCode1
BlenderGym: Benchmarking Foundational Model Systems for Graphics EditingCode1
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth EstimationCode1
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume FusionCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
How to Use Diffusion Priors under Sparse Views?Code1
Human-Aware Object Placement for Visual Environment ReconstructionCode1
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic ReviewCode1
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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