The presented approach consists of two-steps: (1) project the panoptic segmentation masks to a latent space with a shallow auto-encoder; (2) train a diffusion model in latent space, conditioned on RGB ...

Project focuses on diagnosing cancer through image analysis. It utilizes machine learning models and techniques to analyze medical images and classify cancerous cells or tumors. It aims to improve ...

Autoregressive image generation has been shaped by advances in sequential modeling, originally seen in natural language processing. This field focuses on generating images one token at a time, similar ...