Fine-tuning Stable Diffusions VAE This repository contains the implementation details for fine-tuning Stable Diffusion's Variational Auto-Encoder, as outlined in my accompanying project post Web.

The variational autoencoder is adopted to learn the feature representation and deal with the class imbalance problem, and the stochastic decision forest is adopted to guide the global optimization of ...

Health indicator (HI) affects the accuracy and reliability of the remaining useful life (RUL) prediction model. The hidden variables of variational autoencoder (VAE) can represent the HI values for a ...

[CVPR'25 Oral] Official implementation for "DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models" - nv-tlabs/diffusion-renderer ...