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Light Field Super-Resolution via Adaptive Feature Remixing, IEEE Trans. Image Process., 2021

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Python 3.7

LFSR-AFR

Keunsoo Ko, Yeong Jun Koh, SoonKeun Chang, and Chang-Su Kim

Official PyTorch Code for "Light Field Super-Resolution via Adaptive Feature Remixing, IEEE Trans. Image Process., vol. 30, pp. 4114-4128, Apr. 2021"

Requirements

  • PyTorch 1.3.1 (Other versions can cause different results)
  • python 3.7

Installation

Download repository:

    $ git clone https://github.com/keunsoo-ko/LFSR-AFR.git

Download pre-trained model parameters

Usage

Run Test for the spatial super resolution on the HCI dataset with the factor x2:

    $ python demo.py --mode SR --path LFSR-AFR.pth(put downloaded model path)

Run Test for the angular super resolution on the HCI dataset with the factor x2:

    $ python demo.py --mode AR --path LFSR-AFR.pth

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Light Field Super-Resolution via Adaptive Feature Remixing, IEEE Trans. Image Process., 2021

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