mlsanityData to 7 Oct 2026

StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images

arXiv 2403.09302 ↗First posted 14 Mar 2024eess.IV cs.CV cs.LGcited by 6

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Abstract (arXiv)

Stain normalization algorithms aim to transform the color and intensity characteristics of a source multi-gigapixel histology image to match those of a target image, mitigating inconsistencies in the appearance of stains used to highlight cellular components in the images. We propose a new approach, StainFuser, which treats this problem as a style transfer task using a novel Conditional Latent Diffusion architecture, eliminating the need for handcrafted color components. With this method, we curate SPI-2M the largest stain normalization dataset to date of over 2 million histology images with neural style transfer for high-quality transformations. Trained on this data, StainFuser outperforms current state-of-the-art deep learning and handcrafted methods in terms of the quality of normalized images and in terms of downstream model performance on the CoNIC dataset.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 29 of its 52 references that are in the map. First posted on arXiv 14 Mar 2024.

Builds on

29 of 52 references.

References · 29

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17 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 2.

6 papers.

  1. 2025Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challengescited by 5
  2. 2026Cross-Fusion Distance: A Novel Metric for Measuring Fusion and Separability Between Data Groups in Representation Spacecited by 1
  3. 2025IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functionscited by 0
  4. 2025K-Stain: Keypoint-Driven Correspondence for H&E-to-IHC Virtual Stainingcited by 0
  5. 2025When normalization hallucinates: unseen risks in AI-powered whole slide image processingcited by 0
  6. 2026Histopathology Image Normalization via Latent Manifold Compactioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology
  2. 2024Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation
  3. 2025GANs vs. Diffusion Models for virtual staining with the HER2match dataset
  4. 2025Virtual Multiplex Staining for Histological Images using a Marker-wise Conditioned Diffusion Model
  5. 2022A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images
  6. 2024Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
  7. 2026A Generative Foundation Model for Multimodal Histopathology
  8. 2025VLM-based Prompts as the Optimal Assistant for Unpaired Histopathology Virtual Staining