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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Source: FS – All – Science – News
Someone used neural networks to upscale a famous 1896 video to 4k quality