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Tencent
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Compressing state-of-the-art image generation models by up to 75% without sacrificing quality could revolutionize resource efficiency in AI image synthesis.
Achieve SOTA in both visual generation and understanding by harmonizing generative and semantic representations within a single ViT architecture.
