[CVPR 2025] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

High-fidelity performance metrics for generative models in PyTorch

DiffInfinite Official Code

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

Diffusion-based Data Augmentation for Nuclei Image Segmentation

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

[WACV 2024] An implementation of MEGANet for polyp segmentation with multi-scale edge-guided attention

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

[ECCV 2024] SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution

SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images

Official implementation of DiffMix (MICCAI 2023)

Taming Transformers for High-Resolution Image Synthesis

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…

Official Code for PathLDM: Text conditioned Latent Diffusion Model for Histopathology (WACV 2024)

CVPR 2024: Learned representation-guided diffusion models for large-image generation

Official implementation of a paper accepted on MICCAI 2024

High-Resolution Image Synthesis with Latent Diffusion Models

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Pytorch implementation of NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Official PyTorch implementation of "Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis." (ICCV 2023)

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

Official Implementation of Semantic Image Synthesis via Diffusion Models

Official implementation of paper "Mining Multi-Center Heterogeneous Medical Data with Distributed Synthetic Learning"