Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits

[ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining

Fine-tune StyleGAN2 on your custom data!

Autoencoder model implementation in Keras, trained on MNIST dataset / latent space investigation.

This is a very simple notebook with which I generated an avatar of myself using Stable Diffusion and a mathematical study of its latent space to modify my picture

Extension of GANspace: https://github.com/harskish/ganspace

Applying Perlin Noise algorithm for procedural spatial noise flow and interpolation of latent space in Stable Diffusion.

Developed a robust system for object recognition and reconstruction based on latent representations, with an exploration of noise injection effects.

This repository contains our experiments on achieving controllability in image generation as a part of our course project

High-complexity implementation of Probabilistic Models (VAE & Normalizing Flows). Features dual-mode manifold discovery through $\beta$-regularization and Evidence Lower Bound (ELBO) maximization. Validated via FID (0.4473), utilizing TFP Bijectors and MultivariateNormalTriL layers.

Key Features: Simple VAE architecture with encoder/decoder Synthetic music data generation for training Interactive training with progress tracking Music generation from latent space sampling Audio conversion and playback Downloadable audio files

Code and documentation for the master thesis "Disentangled Visual AttributeManipulation in Fashion: Techniques in Generative Deep Neural Networks" at the University of Tuebingen

a PyTorch-based VAE to generate, reconstruct, and interpolate dog images using latent space representations.