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A developer and YouTuber named Denis Shiryaev recently used \u201cseveral neural networks\u201d to update a famous French short film from 1895 to make it appear as though it were shot on a modern phone.<\/p>\n
Called \u201cL\u2019arriv\u00e9e d\u2019un train en gare de La Ciotat,\u201d the 50-second French short documentary shows a train arriving at Ciotat train station. The film is famous for allegedly causing theater goers at the time to panic out of fear the train would burst through the screen and crash into them. While this tale is largely dismissed as little more than legend, it\u2019s easy to imagine the impact such a visual would have had on someone who\u2019d never seen a motion picture before.<\/p>\n
https:\/\/www.youtube.com\/watch?v=MT-70ni4Ddo<\/a><\/p>\n Shiryaev apparently felt the classic masterpiece needed a modern update so they employed what they refer to on Reddit as \u201cseveral neural networks\u201d to upscale the film to 4K resolution at 60 fps. The result is unbelievable, if not a bit jarring:<\/p>\n https:\/\/www.youtube.com\/watch?v=3RYNThid23g<\/a><\/p>\n The video\u2019s also had sound added, which makes it all the more eerily\u2026 normal. It\u2019s unclear exactly what neural networks Shiryaev used, but it\u2019s likely the upscaling was done with GANs (generative adversarial networks) similar to the kind that powers Deepfakes and Nvidia\u2019s FaceGAN.<\/p>\n Read: Researchers trained an AI to create Flintstones cartoons<\/i><\/p>\n The 4K version of \u201cArrival of a Train\u201d may lack the antique appeal of its classic predecessor but, aside from some visible artifacts generated by the AI, it\u2019s an excellent reinterpretation and a testament to the power of GANs to manipulate video.<\/p>\n Experts warn that video manipulation AI could be used for nefarious purposes, but here we just have a really cool use-case where a clever developer\u2019s managed to wow us all.<\/p>\n We\u2019re still trying to reach out to Shiryaev to learn how he managed such a clean upscaling. We\u2019ll update this article if we hear back.<\/p>\n