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3D Scene Reconstruction

Creating 3D scene either using conventional SFM pipelines or latest deep learning approaches.

Papers

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Showing 101–125 of 246 papers

TitleStatusHype
MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction—0
3D Scene Reconstruction with Multi-layer Depth and Epipolar Transformers—0
Multi-scale Cross-form Pyramid Network for Stereo Matching—0
Multiview Image-Based Localization—0
NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation—0
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing—0
Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision—0
Neural Implicit Representation for Highly Dynamic LiDAR Mapping and Odometry—0
Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration—0
Neural Rendering based Urban Scene Reconstruction for Autonomous Driving—0
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera—0
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations—0
NexusSplats: Efficient 3D Gaussian Splatting in the Wild—0
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM—0
Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications—0
Object-level Scene Deocclusion—0
OG-Gaussian: Occupancy Based Street Gaussians for Autonomous Driving—0
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction—0
Online 3D Scene Reconstruction Using Neural Object Priors—0
PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving—0
PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Scene Reconstruction—0
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting—0
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field—0
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo—0
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings—0
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