Lossy Compression with Gaussian Diffusion. (arXiv:2206.08889v1 [stat.ML])

Web: http://arxiv.org/abs/2206.08889

We describe a novel lossy compression approach called DiffC which is based on
unconditional diffusion generative models. Unlike modern compression schemes
which rely on transform coding and quantization to restrict the transmitted
information, DiffC relies on the efficient communication of pixels corrupted by
Gaussian noise. We implement a proof of concept and find that it works
surprisingly well despite the lack of an encoder transform, outperforming the
state-of-the-art generative compression method HiFiC on ImageNet 64x64. DiffC
only uses a single …

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