A two-stage framework combines a beta-conditioned VAE with a latent-space diffusion denoiser to obtain both disentangled representations and high-fidelity image generation.
Since pD(x) is expressed as a sum of Dirac delta functions δ(x − xi) for i = 1 ,
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Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
A two-stage framework combines a beta-conditioned VAE with a latent-space diffusion denoiser to obtain both disentangled representations and high-fidelity image generation.