Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: Generative steganography, a novel paradigm in information hiding, has garnered considerable attention for its potential to withstand steganalysis. However, existing generative steganography ...

Traditional image generation from text often involves sending the text to a remote server for processing, which can result in delays due to server response times, unreliable network connections, and ...

This is the official implementation of our paper TFMQ-DM, a novel training-free framework that achieves a new state-of-the-art result in PTQ of diffusion models, especially under 4-bit weight ...