The proposed software utilizes two neural networks to make approximations for the pixel makeup of translated images.[1][19] The first network, known as the “conditioning network,” downsizes high-resolution images to 8x8 and attempts to create mappings from the original 8x8 image to these higher-resolution ones.[16] The other network, known as the “prior network,” uses the mappings from the previous network to add more detail to the original image.[16] The resulting translated image is not the same image in higher resolution, but rather a 32x32 resolution estimation based on other existing high-resolution images.[16] Google Brain's results indicate the possibility for neural networks to enhance images.[20]