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 23012326 of 2326 papers

TitleStatusHype
Cost Volume Pyramid Based Depth Inference for Multi-View StereoCode0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
RayNet: Learning Volumetric 3D Reconstruction with Ray PotentialsCode0
RGB-D Mapping and Tracking in a Plenoxel Radiance FieldCode0
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view camerasCode0
Image Stabilization for Hololens Camera in Remote CollaborationCode0
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion featuresCode0
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial NetworkCode0
Three-Dimensional, Multimodal Synchrotron Data for Machine Learning ApplicationsCode0
Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature SpaceCode0
What does 2D geometric information really tell us about 3D face shape?Code0
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D ReconstructionCode0
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D ExplorationCode0
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D ReconstructionCode0
Live Reconstruction of Large-Scale Dynamic Outdoor WorldsCode0
Ultron: Enabling Temporal Geometry Compression of 3D Mesh Sequences using Temporal Correspondence and Mesh DeformationCode0
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy FunctionsCode0
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth EstimationCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
OctNetFusion: Learning Depth Fusion from DataCode0
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D OutputsCode0
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from MotionCode0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit RepresentationCode0
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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