DC-AE-f32-c32 finetuned on digital histopathology images.

The original autoencoder is taken from DC-AE.

We fine-tune the decoder on histopathology images using an L1 reconstruction loss, a PatchGAN adversarial loss and a pathology-specific perceptual loss (UNI).

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Collection including StonyBrook-CVLab/dc-ae-f32c32-path

Pathology fine-tuned AEs

Collection

https://histodiffusion.github.io/docs/projects/pathae/ • 4 items • Updated Jun 18, 2025 • 1

Paper for StonyBrook-CVLab/dc-ae-f32c32-path

Pathology Image Compression with Pre-trained Autoencoders

Paper • 2503.11591 • Published Mar 14, 2025 • 5