# Supplementary materials for Improving the Training of GANs with Limited Data via Dual Adaptive Noise Injection

This supplementary material includes a PDF file to provide additional experiment details of the main paper. It also includes a folder called "More generated results of interpolation videos on low-shot datasets" to further show the generating interpolations of proposed DANI with Projected GAN on the low-shot datasets.

The pre-trained model (~1.5G) with test code can be found in the anonymous Google drive link https://drive.google.com/file/d/1txf67sw33M7wkXsnQcZ3WRuQDzsCT6UV/view?usp=sharing

We will release all training codes and pre-trained models of the DANI on different datasets once the paper is accepted.