Comparison between the TIN, Knoll’s algorithm, and N-convex dithering using an 8-colour irregular palette. Left to right: TIN, Knoll, N-convex (N=4).
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Trained — weights learned from data by any training algorithm (SGD, Adam, evolutionary search, etc.). The algorithm must be generic — it should work with any model and dataset, not just this specific problem. This encourages creative ideas around data format, tokenization, curriculum learning, and architecture search.，更多细节参见Line官方版本下载
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