image-to-image

This paper introduces Prob-BBDM, a probabilistic Brownian Bridge Diffusion Model for efficient and high-quality MRI sequence synthesis from 2D axial slices, achieving up to 88.46% SSIM and 26.09 dB PSNR with only 4 diffusion steps, and demonstrating clinical utility in tumor segmentation.

This paper proposes Decoupled Residual Denoising Diffusion Models (DRDD) for unified and data-efficient image-to-image translation, decoupling noise diffusion for domain harmonization from residual diffusion for semantic mapping.

This paper introduces StableI2I, a reference-free evaluation framework for assessing content fidelity and consistency in image-to-image generation tasks. It also presents StableI2I-Bench, a benchmark for evaluating multi-modal language models on these assessment tasks.