Let’s start by analysing the problem from a Machine Learning point of view. ![]() Since the release of face-swapping technology, there have been countless discussions online on how to train a network to achieve photorealistic results. Training is the process which (literally!) trains a neural network to deconstruct and reconstruct faces. There are two critical processes involved in the making of any face-swap video: the training and the creation. ![]() Likewise, creating realistic face-swapped videos is hard. Like any artistic endeavour, the final result is a mixture of talent, commitment and right tools. Photoshop and After Effects are used every day by professionals, but that does not mean that just installing either of them is all it takes to create photorealistic images and videos.
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