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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1226–1250 of 2326 papers

TitleStatusHype
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs—0
Nuvo: Neural UV Mapping for Unruly 3D Representations—0
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised ReconstructionCode0
SuperPrimitive: Scene Reconstruction at a Primitive Level—0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation—0
Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages—0
Evaluating the point cloud of individual trees generated from images based on Neural Radiance fields (NeRF) method—0
RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields—0
DreaMo: Articulated 3D Reconstruction From A Single Casual Video—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
R3D-SWIN:Use Shifted Window Attention for Single-View 3D Reconstruction—0
Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent—0
ReconFusion: 3D Reconstruction with Diffusion Priors—0
Light Field Imaging in the Restrictive Object Space based on Flexible Angular Plane—0
Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction—0
UAVs and Birds: Enhancing Short-Range Navigation through Budgerigar Flight Studies—0
NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance—0
Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data—0
Dispersed Structured Light for Hyperspectral 3D Imaging—0
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy—0
Volumetric Cloud Field Reconstruction—0
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering—0
REF^2-NeRF: Reflection and Refraction aware Neural Radiance FieldCode0
Rethinking Directional Integration in Neural Radiance Fields—0
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models—0
Show:102550
← PrevPage 50 of 94Next →
All datasetsDTUShapeNetData3D−R2N2Scan2CAD3DPeopleAria Digital Twin DatasetAria Synthetic EnvironmentsScanNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63—Unverified
2GipumaOverall0.58—Unverified
3COLMAPOverall0.53—Unverified
4MVSNetOverall0.46—Unverified
5Vis-MVSNetOverall0.37—Unverified
6AA-RMVSNetOverall0.36—Unverified
7Cas-MVSNetOverall0.36—Unverified
8EPP-MVSNetOverall0.36—Unverified
9PatchmatchNetOverall0.35—Unverified
10CVP-MVSNetOverall0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8—Unverified
2POCOIoU92.6—Unverified
3FS-SDFIoU91.2—Unverified
4DP-ConvONetIoU89.5—Unverified
5ConvONetIoU88.4—Unverified
6ONetIoU76.1—Unverified
7EVolTIoU73.8—Unverified
8ZubicLioIoU65.43—Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64—Unverified
2PSGN3DIoU0.64—Unverified
3OGN3DIoU0.6—Unverified
43D-R2N23DIoU0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68—Unverified
23DMatchAverage Accuracy10.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4—Unverified