Actor, director, model, teen vampire movie star – now Kristen Stewart can add research author to her list of credentials. Stewart, best known for her portrayal of Bella Swan in the Twilight Saga films, has co-written an article published in Cornell University's online library arXiv. It explains the artificial intelligence technique used in her new short film, Come Swim, that enables footage to take on the visual appearance of a painting. Kristen Stewart, best known for her portrayal of Bella Swan in the Twilight Saga films, has co-written an article published in Cornell University's online library arXiv Many popular software programs, such as Adobe Photoshop and GIMP, already provide filters that can make photographs take on the general style of oil paintings, pen sketches, screen-prints or chalk drawings, for example. The algorithms needed to accomplish this first began to produce aesthetically pleasing results in the early 1990s.

The paper outlines the use of neural style transfer in Stewart's directorial debut, Come Swim, which is about to premiere at Sundance Film Festival. Neural style transfer turns normal images into impressionist art, and is used by popular photo app Prisma. The paper, first spotted by Quartz, is co-bylined with Adobe research engineer Bhautik J. Joshi and producer David Shapiro. It was published yesterday on ArXiv, a repository run by Cornell University for scientific papers that are not yet peer-reviewed. Come Swim describes itself as "half realist, half impressionist portraits" of one man's day.

Kristen Stewart – the actress best known for "Twilight" – has co-written a paper on machine learning. The paper outlines the use of neural style transfer in Stewart's directorial debut, "Come Swim", which is about to premiere at Sundance Film Festival. Neural style transfer turns normal images into impressionist art, and is used by popular photo app Prisma. The paper, first spotted by Quartz, is co-bylined with Adobe research engineer Bhautik J. Joshi and producer David Shapiro. It was published yesterday on ArXiv, a repository run by Cornell University for scientific papers that are not yet peer-reviewed.

The paper outlines the use of neural style transfer in Stewart's directorial debut, "Come Swim", which is about to premiere at Sundance Film Festival. Neural style transfer turns normal images into impressionist art, and is used by popular photo app Prisma. The paper, first spotted by Quartz, is co-bylined with Adobe research engineer Bhautik J. Joshi and producer David Shapiro. It was published yesterday on ArXiv, a repository run by Cornell University for scientific papers that are not yet peer-reviewed. "Come Swim" describes itself as "half realist, half impressionist portraits" of one man's day.

Kristen Stewart, best known for her role as Bella in the Twilight saga, has co-authored a paper on machine learning. It details her use of a technique known as'style transfers' for select scenes in Come Swim, a short film that will be shown at Sundance and marks her directorial debut. The process has become popular with apps such as Prisma, which allow the user to apply filters in the style of famous paintings. At its core, the system relies on deep neural networks to identify the "content" of your photo and the "style" of another, blending them together into a completely new image. Stewart and her team used style transfers to create some unusual, dream-like sequences in the film.