from ai to human - An Overview
from ai to human - An Overview
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We synthesize total-overall body human images starting off from a supplied human pose with two focused measures. one) With some texts describing the styles of garments, the presented human pose is very first translated to a human parsing map. 2) The final human image is then generated by providing the system with far more characteristics about the textures of garments. Specially, to product the variety of apparel textures, we produce a hierarchical texture-aware codebook that merchants multi-scale neural representations for each type of texture. The codebook with the coarse level features the structural representations of textures, though the codebook for the fine level concentrates on the small print of textures. To use the uncovered hierarchical codebook to synthesize desired pictures, a diffusionbased transformer sampler with mixture of authorities is First of all used to sample indices from the coarsest degree of the codebook, which then is used to predict the indices of your codebook at finer degrees. The predicted indices at distinct ranges are translated to human illustrations or photos via the decoder discovered accompanied with hierarchical codebooks. Using mixture-of-experts allows for the generated image conditioned on the great-grained text input. The prediction for finer stage indices refines the standard of clothes textures. Comprehensive quantitative and qualitative evaluations demonstrate that our proposed Text2Human framework can generate far more assorted and real looking human photographs compared to state-of-the-artwork techniques. Links
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