Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology
On the map: Diffusion models → Medical imaging and segmentation
Abstract (arXiv)
Diagnoses from histopathology images rely on information from both high and low resolutions of Whole Slide Images. Ultra-Resolution Cascaded Diffusion Models (URCDMs) allow for the synthesis of high-resolution images that are realistic at all magnification levels, focusing not only on fidelity but also on long-distance spatial coherency. Our model beats existing methods, improving the pFID-50k [2] score by 110.63 to 39.52 pFID-50k. Additionally, a human expert evaluation study was performed, reaching a weighted Mean Absolute Error (MAE) of 0.11 for the Lower Resolution Diffusion Models and a weighted MAE of 0.22 for the URCDM.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 6 of its 9 references that are in the map. First posted on arXiv 2 Dec 2023.
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- 2021Alias-Free Generative Adversarial Networkscited by 1,181
- 2022Any-resolution Training for High-resolution Image Synthesiscited by 72
- 2018You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagerycited by 27
- 2022Federated Stain Normalization for Computational Pathologycited by 11
- 2023Realistic Data Enrichment for Robust Image Segmentation in Histopathologycited by 7
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- 2024URCDM: Ultra-Resolution Image Synthesis in Histopathology
- 2023Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale
- 2026Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging
- 2022A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images
- 2024ZoomLDM: Latent Diffusion Model for multi-scale image generation
- 2024Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
- 2025PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
- 2025Graph Conditioned Diffusion for Controllable Histopathology Image Generation