activity
20222025
most citedControlling Vision-Language Models for Multi-Task Image Restoration

22 citations · 29 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Efficient Image Restoration with State-Dependent Forward Diffusion

Ziwei Luo, Fredrik K. Gustafsson, Jens Sjölund +1

This paper proposes to perform image restoration through a state-dependent mean-reverting forward diffusion (FoD) process. In contrast to traditional diffusion-based approaches tha…

cs.CV2024

Taming Diffusion Models for Image Restoration: A Review

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2

Diffusion models have achieved remarkable progress in generative modelling, particularly in enhancing image quality to conform to human preferences. Recently, these models have als…

cs.CV2024

Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2

Though diffusion models have been successfully applied to various image restoration (IR) tasks, their performance is sensitive to the choice of training datasets. Typically, diffus…

cs.CV2023★ 22 cited

Controlling Vision-Language Models for Multi-Task Image Restoration

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2

Vision-language models such as CLIP have shown great impact on diverse downstream tasks for zero-shot or label-free predictions. However, when it comes to low-level vision such as…

cs.CV2023★ 6 cited

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2

This work aims to improve the applicability of diffusion models in realistic image restoration. Specifically, we enhance the diffusion model in several aspects such as network arch…

cs.LG2023★ 1 cited

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?

Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

Many important computer vision applications are naturally formulated as regression problems. Within medical imaging, accurate regression models have the potential to automate vario…

eess.SP2022

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods

Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson +5

Objective: Imbalances of the electrolyte concentration levels in the body can lead to catastrophic consequences, but accurate and accessible measurements could improve patient outc…