Fall of the House of Usher

Fall of the House of Usher is a 12-minute animation based on the short story by Edgar Allan Poe, where each still is generated by artificial intelligence. This is done by using a neural net (pix2pix) trained on the artist's ink drawings made of stills from the 1929 version of the film. Each still shown in the animation is not merely a filter that is applied to an existing image, but an entirely new image by a neural net. As all the stills that it was given to learn from came from the first four minutes of the film, it can output this reasonably well. But as the animation progresses, it has less and less of a frame of reference to draw on, leading to uncanny moments where the information starts to break down, particularly at the end of the piece.