The Twilight actress made her directorial debut in a short film Come Swim, shown yesterday at the Sundance Film Festival and features the use of the popular neural “style transfer” technique to build its story.
The project, co-authored with an Adobe research engineer, is a great case study on the ability to use style transfer in a production. Using CUDA, GPUs on the Amazon cloud and the cuDNN-accelerated Caffe deep learning framework, they redrew key scenes in Come Swim in the style of the impressionistic painting that inspired the film.
As mentioned in the paper, GPUs played a key role in the work since they provided the computing power necessary to achieve the quality needed for the images in a reasonable amount of time.
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Actress Kristen Stewart Co-Authored AI Style Transfer Paper
Jan 20, 2017
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AI-Generated Summary
- Actress Kristen Stewart made her directorial debut with the short film Come Swim, which premiered at the Sundance Film Festival and uses neural style transfer as a storytelling technique.
- The production applied the style of an impressionistic painting that inspired the film to key scenes using CUDA, GPUs on the Amazon cloud, and the cuDNN-accelerated Caffe deep learning framework.
- A paper co-authored with an Adobe research engineer documents the project as a case study for using style transfer in a production environment.
Next Steps
- Read the TechCrunch article for additional details on the project and its reception.
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