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  • Arstechnica | Someone used neural networks to upscale a famous 1896 video to 4k quality
  • Arrival of a Train at La Ciotat is one of the most famous films in cinema history. Shot by French filmmakers Auguste and Louis Lumière, it achieved an unprecedented level of quality for its time. Some people regard its commercial exhibition in 1896 as the birth of the film industry. An urban legend—likely apocryphal—says that viewers found the footage so realistic that they screamed and ran to the back of the room as the train approached. I've embedded a video of the original film above.

    Of course, humanity's standards for realism have risen dramatically over the last 125 years. Today, the Lumière brothers' masterpiece looks grainy, murky, and basically ancient. But a man named Denis Shiryaev used modern machine-learning techniques to upscale the classic film to 21st-century video standards.

    The result is remarkable. Watching the upscaled version makes the world of our great-great-great-grandparents come to life. Formerly murky details of the train, the clothing, and the faces of the passengers now stand out clearly.

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