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

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Showing 951–1000 of 2326 papers

TitleStatusHype
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation—0
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot—0
SurgPointTransformer: Vertebrae Shape Completion with RGB-D Data—0
An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction—0
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation—0
Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance—0
Revisiting the Role of Texture in 3D Person Re-identification—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic SceneCode0
Towards Unified 3D Hair Reconstruction from Single-View Portraits—0
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth EstimationCode0
Frequency-based View Selection in Gaussian Splatting Reconstruction—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild—0
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark—0
SpikeGS: Learning 3D Gaussian Fields from Continuous Spike StreamCode0
ExFMan: Rendering 3D Dynamic Humans with Hybrid Monocular Blurry Frames and Events—0
MGSO: Monocular Real-time Photometric SLAM with Efficient 3D Gaussian Splatting—0
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement—0
MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset—0
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion—0
CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting—0
SPARK: Self-supervised Personalized Real-time Monocular Face Capture—0
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy—0
VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis—0
Single-View 3D Reconstruction via SO(2)-Equivariant Gaussian Sculpting Networks—0
Three-Dimensional, Multimodal Synchrotron Data for Machine Learning ApplicationsCode0
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering—0
Ultron: Enabling Temporal Geometry Compression of 3D Mesh Sequences using Temporal Correspondence and Mesh DeformationCode0
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes—0
LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priors—0
Optimizing 3D Gaussian Splatting for Sparse Viewpoint Scene Reconstruction—0
Automatic occlusion removal from 3D maps for maritime situational awareness—0
Coral Model Generation from Single Images for Virtual Reality Applications—0
Object Gaussian for Monocular 6D Pose Estimation from Sparse Views—0
MetaFood3D: 3D Food Dataset with Nutrition Values—0
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos—0
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring—0
2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Reconstruction—0
Spurfies: Sparse Surface Reconstruction using Local Geometry Priors—0
GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning—0
Learning-based Multi-View Stereo: A Survey—0
Pixel-Aligned Multi-View Generation with Depth Guided Decoder—0
TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers—0
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs—0
Temporally-consistent 3D Reconstruction of Birds—0
AdaOcc: Adaptive-Resolution Occupancy Prediction—0
Subsurface Scattering for 3D Gaussian Splatting—0
Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar—0
MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation—0
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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