DGSpitzer said on Bilibili
that he combined several AI tools to bring history back to life. DeOldify
, a machine learning system, was used to add color to the black-and-white footage. The DAIN
algorithm, created by researchers from the US and China, adds artificial frames to the video to bring it up to 60 frames per second, on par with frame rates offered by shooting on modern smartphones. ESGRAN
, another AI system, was used to create realistic texture to the film to boost its resolution. Music was also added for effect.
aren’t perfect -- you won’t mistake it for a movie shot with modern equipment. While adding frames and color helps the video feel more authentic and intimate than you would expect from a century-old film, the edges of the people and objects seem blurrier. If you want to see the difference, make sure to check out the original footage here
DGSpitzer says his project was based on tutorials by Denis Shiryaev
, who used AI tools earlier this year to upscale the 1896 silent film L’Arrivée d’un train en gare de La Ciotat (“Arrival of a Train at La Ciotat Station”), to similar effect. According to urban legend, the 45-second clip startled 19th-century moviegoers who thought the train in the film was going to burst out of the screen and barrel straight into them.