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 926950 of 2326 papers

TitleStatusHype
Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans0
Enhanced Encoder-Decoder Architecture for Accurate Monocular Depth EstimationCode0
Robotic Arm Platform for Multi-View Image Acquisition and 3D Reconstruction in Minimally Invasive Surgery0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications0
Improving 3D Finger Traits Recognition via Generalizable Neural Rendering0
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains0
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction0
Ego3DT: Tracking Every 3D Object in Ego-centric Videos0
FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction0
MPF-GAN: an enhanced architecture for 3D face reconstructionCode0
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency0
3D Vision-Language Gaussian Splatting0
UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion0
Comparative Analysis of Novel View Synthesis and Photogrammetry for 3D Forest Stand Reconstruction and extraction of individual tree parameters0
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space ObjectsCode0
TeX-NeRF: Neural Radiance Fields from Pseudo-TeX Vision0
EndoPerfect: High-Accuracy Monocular Depth Estimation and 3D Reconstruction for Endoscopic Surgery via NeRF-Stereo Fusion0
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information0
Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry0
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction0
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians0
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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