Every video we feed into a model carries a hidden companion that seems to be largely ignored. Alongside the frames, the encoder leaves behind a rich trail of signals — motion vectors, block partitions, quantisation/rate-distortion decisions and residual energy. Call them “codec intrinsics”, or simply “codec signals.” They aren’t pixels, but they are shaped by decades of engineering about what people actually see, where detail matters and how motion really flows. If our generators learn from images and videos, why not let them learn from this perceptual map as well? It’s the difference between teaching an AI to paint by only showing it finished masterpieces versus letting it study the painter’s original sketches, compositional notes, and brush-stroke tests. — Read More
Rick's Cafe AI 