SceneFactory

A Workflow-centric and Unified Framework for Incremental Scene Modeling

InfoXVII - Robotics, Julius-Maximilians-Universität Würzburg

Assembling Your Vision

Scene by Scene :D

1. Quick Description

1.1 Dependency Graph

We use Dependency Graph to connect components to avoid redundancy.

Where four building blocks are involved in the current factory, (1) Mono-SLAM (Our extended-DPVO, supports RGB, RGB-D, RGB-L), (2) depth estimation (Our U2-MVD), (3) Flexion and (4) scene reconstruction (Our DM-NPs).

1.2 Due-purpose Multiresolutional Neural Points (DM-NPs)

1.2.1 The first surface-gettable SLF model.

1.2.2 Make point rasterization as usable as surface rasterization with improved point rasterization (IPR).

Pytorch3d
Ours w/ radius Adaptation
w/o layer filter
Ours w/ layer filter
The Pytorch3d's result also uses our layer filter for variables control.

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1.3 Unposed&Uncalibrated Multi-view Depth Estimation (U2-MVD)

Our model doesnot suffers from the vision illusion.

1.4 Fill in the graph