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Interpolating latent representations before decoding yields a reconstruction FID (iFID) that finally aligns with the generation FID of latent diffusion models, achieving ~0.85 correlation where standard rFID fails.
Adam's edge over SGD in fine-tuning might boil down to its ability to nimbly escape saddle points and enforce better feature balance, a feat standard gradient descent struggles with.
