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Continuity can be a challenge for shoots that are plagued by varying weather conditions, where, for instance, the pick-up shots are in bright sunlight but the core footage was shot under an even layer of cloud.
The cheapest and perhaps most notorious post-fix for night-time footage, familiar to any viewer of old movies, was altering the F-stop settings at processing time in order to over-expose the film and produce a dark and gloomy effect from material that was shot in broad daylight – known as day for night [1].
Neural networks have been brought to bear on the problem for a few years now. In 2019 a Google-led academic collaboration presented a novel neural network that implemented a rudimentary process for relighting, though the results were not entirely convincing[2].