Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
2023 · 122 citations
https://doi.org/10.1109/cvprw59228.2023.00169
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Jens Sjölund
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Jens Sjölund is an academic researcher. The author has contributed to research in topics: Medical Imaging Techniques and Applications & Medical Image Segmentation Techniques & Advanced Battery Technologies Research. The author has an h-index of 16, co-authored 70 publications.
ORCID: 0000-0002-9099-3522Papers by this author
worksNTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
2023 · 22 citations
https://doi.org/10.1109/cvprw59228.2023.00180
Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
2025 · Cell Reports Physical Science · 12 citations
https://doi.org/10.1016/j.xcrp.2025.102548
Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations
2025 · npj Computational Materials · 4 citations
https://doi.org/10.1038/s41524-025-01735-x
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