A single rate-variable generative compression model treats quantization as a forward corruption and reverses it with a two-step denoiser, outperforming prior generative codecs on perceptual quality benchmarks.
In: The Twelfth International Conference on Learning Representations (2023) 1, 4
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Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution
A single rate-variable generative compression model treats quantization as a forward corruption and reverses it with a two-step denoiser, outperforming prior generative codecs on perceptual quality benchmarks.