KwanWaiPang/Awesome-Transformer-based-SLAM
Paper Survey for Transformer-based SLAM
This is a curated collection of academic papers and associated code repositories focused on Simultaneous Localization and Mapping (SLAM) systems that utilize Transformer neural network architectures. It helps researchers and engineers working on robotics, autonomous vehicles, and augmented reality to quickly find cutting-edge methods for tasks like depth estimation, 3D reconstruction, and pose estimation. The resource provides direct links to research papers and their open-source implementations, making it easier to explore and apply these advanced techniques.
255 stars.
Use this if you are a researcher or engineer in robotics, computer vision, or autonomous systems looking for the latest academic papers and open-source implementations of SLAM techniques using Transformer models.
Not ideal if you are looking for an off-the-shelf software tool or a step-by-step tutorial for implementing SLAM, as this resource is a curated list of research papers and their code.
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Mar 04, 2026
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