411 citations · 1.7k across the 27 of their papers we have counts for
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stat.ML2022★ 20 cited
Lossy Compression with Gaussian Diffusion
Lucas Theis, Tim Salimans, Matthew D. Hoffman +1
We consider a novel lossy compression approach based on unconditional diffusion generative models, which we call DiffC. Unlike modern compression schemes which rely on transform co…
cs.LG2022★ 1 cited
An Introduction to Neural Data Compression
Yibo Yang, Stephan Mandt, Lucas Theis
Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new…