YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

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).

Downloads last month: 16

Safetensors

Model size

323M params

Tensor type

F32

Inference Providers NEW

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The model has no library tag.

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

Pathology fine-tuned AEs

Collection

https://histodiffusion.github.io/docs/projects/pathae/ • 3 items • Updated 1 day ago