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 301325 of 2326 papers

TitleStatusHype
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D EnvironmentsCode1
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light ConditionsCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Doppelgangers: Learning to Disambiguate Images of Similar StructuresCode1
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D ReconstructionCode1
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance FieldsCode1
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
Bayesian Diffusion Models for 3D Shape ReconstructionCode1
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene GenerationCode1
PCRNet: Point Cloud Registration Network using PointNet EncodingCode1
DI-Fusion: Online Implicit 3D Reconstruction with Deep PriorsCode1
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby ReferencesCode1
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View DiffusionCode1
Learning Online Multi-Sensor Depth FusionCode1
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View SettingsCode1
Detecting Line Segments in Motion-blurred Images with EventsCode1
AutoSweep: Recovering 3D Editable Objectsfrom a Single PhotographCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Deep Two-View Structure-from-Motion RevisitedCode1
DeepShadow: Neural Shape from ShadowCode1
Learning Implicit Representation for Reconstructing Articulated ObjectsCode1
Learning to Detect 3D Reflection Symmetry for Single-View ReconstructionCode1
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment ReconstructionCode1
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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