Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction

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Deep LearningDIT
Overview

Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction. arxiv

DIT-architecture

This repository contains python scripts for training and testing [Deep Interaction Transformer (DIT)]

Deep Interaction Transformer (DIT) is a full Transformer framework for point cloud registration, which achieves superior performance compared with current state-of-the-art learning-based methods in accuracy and robustness. DIT consists of the following three main modules:

  • a Point Cloud Structure Extractor for modeling global relation.
  • a Point Feature Transformer for improving the discrimination of features.
  • a GMCCE for correspondence confidence evaluation.

Code coming soon

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