Data-driven Video Codec with Implicit Neural Representations

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Researchers have developed a method to store video and audio not as pixels, but as the weights of a SIREN neural network that maps coordinates to values. By using knowledge distillation and quantization on these 'implicit representations,' they achieved significant compression ratios. This turns the act of watching a video into running a lightweight inference pass.