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Normalizing Flows are Capable Generative Models
Apple introduces TarFlow, a new Transformer-based variant of Masked Autoregressive Flows.
SOTA on likelihood estimation for images, quality and diversity comparable to diffusion models.
arxiv.org/abs/2412.06329
Apple introduces TarFlow, a new Transformer-based variant of Masked Autoregressive Flows.
SOTA on likelihood estimation for images, quality and diversity comparable to diffusion models.
arxiv.org/abs/2412.06329
Normalizing Flows are Capable Generative Models
Normalizing Flows (NFs) are likelihood-based models for continuous inputs.
They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relati...
arxiv.org
December 10, 2024 at 8:06 AM
Normalizing Flows are Capable Generative Models
Apple introduces TarFlow, a new Transformer-based variant of Masked Autoregressive Flows.
SOTA on likelihood estimation for images, quality and diversity comparable to diffusion models.
arxiv.org/abs/2412.06329
Apple introduces TarFlow, a new Transformer-based variant of Masked Autoregressive Flows.
SOTA on likelihood estimation for images, quality and diversity comparable to diffusion models.
arxiv.org/abs/2412.06329