Neural implicit functions enable resolution-agnostic, deterministic virtual staining from H&E to IHC images with SOTA results and better low-data performance than patch-based GAN or diffusion methods.
U-gat-it: unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation
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FDM-MFVT is a few-step mask-free virtual try-on diffusion model using OANO and IDT modules plus a new 30,000-pair MFVT dataset, claiming better efficiency and quality than baselines.
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IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
Neural implicit functions enable resolution-agnostic, deterministic virtual staining from H&E to IHC images with SOTA results and better low-data performance than patch-based GAN or diffusion methods.
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FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On
FDM-MFVT is a few-step mask-free virtual try-on diffusion model using OANO and IDT modules plus a new 30,000-pair MFVT dataset, claiming better efficiency and quality than baselines.