3 papers
eess.IV2026
Advances in Diffusion-Based Generative Compression
Yibo Yang, Stephan Mandt
Popularized by their strong image generation performance, diffusion and related methods for generative modeling have found widespread success in visual media applications. In parti…
cs.AI2025
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
Tuan Truong, Rithwik Sudharsan, Yibo Yang +4
The site conditions that make astronomical observatories in space and on the ground so desirable -- cold and dark -- demand a physical remoteness that leads to limited data transmi…
cs.LG2024
Progressive Compression with Universally Quantized Diffusion Models
Yibo Yang, Justus C. Will, Stephan Mandt
Diffusion probabilistic models have achieved mainstream success in many generative modeling tasks, from image generation to inverse problem solving. A distinct feature of these mod…