𝜷 -VAE: Learning basic visual concepts
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𝜷 -VAE: Learning basic visual concepts
Variational autoencoders (VAEs) learn latent representations of image data in an unsupervised manner. 𝛽-VAE is an improved version of VAEs by introducing an adjustable parameter 𝛽 to balance latent channel capacity and independence constraints with reconstruction accuracy. 𝛽-VAE learns disentangled representations (e.g., skin color ...
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