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[[File:dog_01.gif]] | [[File:dog_01.gif]] | ||
[https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ | [https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ ffmpeg] a part of these video files were converted to image sequences and fed into RunwayML’s training system. After completing the training, a video was generated walking through different parameters for image generation, creating this fluid transition from one host to another. | ||
This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training. | This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training. | ||
[[File:runway.png]] | [[File:runway.png]] | ||