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With HART, the researchers developed a hybrid strategy that utilizes an autoregressive design to predict compressed, discrete graphic tokens, then a little diffusion product to forecast residual tokens.
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Since the diffusion product de-noises all pixels in a picture at each action, and there may be 30 or even more ways, the process is sluggish and computationally pricey. But because the product has numerous prospects to suitable information it acquired Mistaken, the photographs are large-high-quality.
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