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 251275 of 2326 papers

TitleStatusHype
Towards Unified Structured Light Optimization0
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images0
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy VideoCode2
Dense-SfM: Structure from Motion with Dense Consistent Matching0
Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting0
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward PassCode5
3DGS^2: Near Second-order Converging 3D Gaussian Splatting0
Procedural Generation of 3D Maize Plant Architecture from LIDAR Data0
A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography0
Continuous 3D Perception Model with Persistent State0
Survey on Monocular Metric Depth Estimation0
DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions0
Linea alba 3D morphometric variability by CT scan exploration0
RDG-GS: Relative Depth Guidance with Gaussian Splatting for Real-time Sparse-View 3D Rendering0
Poxel: Voxel Reconstruction for 3D Printing0
OpticFusion: Multi-Modal Neural Implicit 3D Reconstruction of Microstructures by Fusing White Light Interferometry and Optical MicroscopyCode1
UVRM: A Scalable 3D Reconstruction Model from Unposed Videos0
Scalable and High-Quality Neural Implicit Representation for 3D Reconstruction0
Unified Few-shot Crack Segmentation and its Precise 3D Automatic Measurement in Concrete Structures0
SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting0
Representation Learning of Point Cloud Upsampling in Global and Local Inputs0
A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision0
ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian SplattingCode1
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene0
AR4D: Autoregressive 4D Generation from Monocular Videos0
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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