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 151175 of 2326 papers

TitleStatusHype
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and GenerationCode2
Multi-View Mesh Reconstruction with Neural Deferred ShadingCode2
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance FieldsCode2
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° ViewsCode2
Fast-SNARF: A Fast Deformer for Articulated Neural FieldsCode2
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field InversionCode2
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance FieldsCode2
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
Visual Language Maps for Robot NavigationCode2
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural RepresentationsCode2
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative ImagingCode2
PeRFception: Perception using Radiance FieldsCode2
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DepthCode2
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from VideosCode2
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic SurgeryCode2
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal PriorsCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionCode2
Neural 3D Reconstruction in the WildCode2
Neural 3D Scene Reconstruction with the Manhattan-world AssumptionCode2
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object ManipulationCode2
Power Bundle Adjustment for Large-Scale 3D ReconstructionCode2
EMOCA: Emotion Driven Monocular Face Capture and AnimationCode2
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single ImageCode2
NeRFusion: Fusing Radiance Fields for Large-Scale Scene ReconstructionCode2
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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