ession by Estimating Gradients of the Rate-variable Feature Distribution</h2>
            <p class="paper-summary">While learned image compression (LIC) focuses on efficient data transmission,
generative image compression (GIC) extends this framework by integrating
generative modeling to produce photo-realistic reconstructed images. In this
paper, we propose a novel diffusion-based generative modeling framework
tailored for generative image compression. Unlike prior diffusion-based
approaches that indirectl