Overview

This repo provides the code of Neuromorphic Imaging with Super-Resolution.

@article{zhang2024tcsvt,
  title    =  {Neuromorphic Imaging with Super-Resolution},
  author   =  {Pei Zhang and Shuo Zhu and Chutian Wang and Yaping Zhao and Edmund Y. Lam},
  journal  =  {IEEE Transactions on Circuits and Systems for Video Technology},
  doi      =  {10.1109/TCSVT.2024.3482436},
}

Implementation

NOTE: The code provides an unoptimized prototype allowing you to make modifications as needed. You can try other networks and learning settings to meet various scenarios.

1. Prepare your event sample (with t, x, y, p entries) in the data folder.
2. Run the program

   CUDA_VISIBLE_DEVICES=0 python run_task.py
   

3. Check the result folder for output files.

Result

3D visualization (x, y, t) is a simple way to verify your result and its distribution: