NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction

Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape PriorПодробнее

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View ReconstructionПодробнее

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View ReconstructionПодробнее

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. In ICCV, 2023.Подробнее

CodeSLAMПодробнее

Neural Radiance Fields Approach to Deep Multi-View Photometric StereoПодробнее

Monocular Dense SLAM with Consistent Deep Depth PredictionПодробнее

Semantic Multi-view Stereo: Jointly Estimating Objects and VoxelsПодробнее

Semi-dense reconstructionПодробнее

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionПодробнее

A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM | IROS 2021Подробнее

AI Learns Geometric Descriptors From Depth Images | Two Minute Papers #148Подробнее

3DMatch: Learning Local Geometric Descriptors from RGB-D ReconstructionsПодробнее