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 11011125 of 2326 papers

TitleStatusHype
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance FieldsCode1
Attention Weighted Local DescriptorsCode1
Tetra-NeRF: Representing Neural Radiance Fields Using TetrahedraCode2
Anything-3D: Towards Single-view Anything Reconstruction in the WildCode3
Single-View View Synthesis with Self-Rectified Pseudo-Stereo0
3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset0
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Temporally Consistent Online Depth Estimation Using Point-Based FusionCode1
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and ReconstructionCode2
SiLK -- Simple Learned KeypointsCode2
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual HullsCode0
Neural Lens Modeling0
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
Analysis of Sampling Strategies for Implicit 3D Reconstruction0
3D GANs and Latent Space: A comprehensive survey0
Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture ConversionCode1
Photometric Correction for Infrared Sensors0
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic RadiographsCode0
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable TransformationCode2
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes0
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields0
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction0
Image Stabilization for Hololens Camera in Remote CollaborationCode0
Real-Time Dense 3D Mapping of Underwater EnvironmentsCode1
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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