AF-VAE uses a conditional VAE with a boundary-derived additive Gaussian prior and lightweight architecture changes to generate 256x256 face edits, reporting improved FID and user-study scores over GAN baselines.
CV AE-GAN: fine-grained image generation through asymmetric training
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Make a Face: Towards Arbitrary High Fidelity Face Manipulation
AF-VAE uses a conditional VAE with a boundary-derived additive Gaussian prior and lightweight architecture changes to generate 256x256 face edits, reporting improved FID and user-study scores over GAN baselines.