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 451–500 of 2326 papers

TitleStatusHype
MPF-GAN: an enhanced architecture for 3D face reconstructionCode0
FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction—0
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian SplattingCode2
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency—0
UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images—0
3D Vision-Language Gaussian Splatting—0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion—0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
Comparative Analysis of Novel View Synthesis and Photogrammetry for 3D Forest Stand Reconstruction and extraction of individual tree parameters—0
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space ObjectsCode0
TeX-NeRF: Neural Radiance Fields from Pseudo-TeX Vision—0
Multimodal 3D Fusion and In-Situ Learning for Spatially Aware AICode1
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRICode1
EndoPerfect: High-Accuracy Monocular Depth Estimation and 3D Reconstruction for Endoscopic Surgery via NeRF-Stereo Fusion—0
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information—0
Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry—0
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot—0
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation—0
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction—0
SurgPointTransformer: Vertebrae Shape Completion with RGB-D Data—0
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians—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
3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representationCode1
Revisiting the Role of Texture in 3D Person Re-identification—0
Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense PredictionCode4
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic SceneCode0
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
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
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Frequency-based View Selection in Gaussian Splatting Reconstruction—0
Matérn Kernels for Tunable Implicit Surface ReconstructionCode1
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark—0
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild—0
SpikeGS: Learning 3D Gaussian Fields from Continuous Spike StreamCode0
ExFMan: Rendering 3D Dynamic Humans with Hybrid Monocular Blurry Frames and Events—0
Occupancy-Based Dual ContouringCode2
MGSO: Monocular Real-time Photometric SLAM with Efficient 3D Gaussian Splatting—0
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset—0
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement—0
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion—0
CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting—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
SPARK: Self-supervised Personalized Real-time Monocular Face Capture—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