StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN

Understand

We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN.

• Inspired by the success of recent unconditional video generation, we leverage a powerful pre-trained image generator to synthesize high-quality cinemagraphs.
• Unlike previous approaches that mainly utilize the latent space of a pre-trained StyleGAN, our approach utilizes its deep feature space for both GAN inversion and cinemagraph generation.
• Specifically, we propose multi-scale deep feature warping (MSDFW), which warps the intermediate features of a pre-trained StyleGAN at different resolutions.