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The codebook with the coarse amount contains the structural representations of textures, although the codebook within the good degree focuses on the main points of textures. To take advantage of the discovered hierarchical codebook to synthesize wanted images, a diffusion-based transformer sampler with combination of industry experts is To start with utilized to sample indices from the coarsest volume of the codebook, which then is utilized to predict the indices in the codebook at finer stages. The predicted indices at different levels are translated to human pictures by the decoder uncovered accompanied with hierarchical codebooks. The usage of mixture-of-professionals allows for the generated impression conditioned within the good-grained text enter. The prediction for finer degree indices refines the standard of garments textures. Considerable quantitative and qualitative evaluations reveal that our proposed framework can create far more varied and practical human photographs in comparison with state-of-the-art approaches. Feedback:
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