Adding self and cross-attention to SimSwap, with dynamic loss weighting and cosine annealing, reportedly raises identity similarity from 0.76 to 0.85 and lowers FID from 45.3 to 32.8.
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Adding self and cross-attention to SimSwap, with dynamic loss weighting and cosine annealing, reportedly raises identity similarity from 0.76 to 0.85 and lowers FID from 45.3 to 32.8.