cysmith/neural-style-tf

Implements multiple advanced techniques including video style transfer, semantic segmentation-guided synthesis, multi-style blending with interpolation control, and color-preserving transfer across YUV/LAB color spaces. Uses CNN-based feature separation to optimize content and style losses jointly, enabling fine-grained control over the content-style tradeoff and support for compositing multiple artistic styles with weighted contributions.

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