PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model

Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

Official PyTorch implementation of the paper: Flow Matching in Latent Space

Latent web browser

Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.

Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)

Autoencoders in Keras

Create 3DGS heads from latent vectors

A deep learning architecture for robust inference and accurate prediction of cellular dynamics

3DGANTex: 3D Face Reconstruction with StyleGAN3-based Texture Synthesis from Multi-View Images

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

Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

[SpeechCom Journal] Learning and controlling the source-filter representation of speech with a variational autoencoder

[CVPR 2021] Smoothing the Disentangled Latent Style Space for Unsupervised I2I Translation

[Comms Bio 2023] Official Code for Fast Detection of Slender Bodies in High Density Microoscopy Data

GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy

Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities

This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.

ComfyUI extension for advanced manipulation with latent

Papers of Implicit Reasoning in LLMs.

A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explores latent space learning, probabilistic modeling, and neural creativity, combining data privacy, interpretability, and generative AI techniques in a structured format.

Interacting with Latent Space of AutoEncoder

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Controllable Face Generation via pretrained Conditional Adversarial Latent Autoencoder (ALAE)

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

Exploring Representation-Aligned Latent Space for Better Generation

AI that generates human faces which have never been seen before. The future is now 😁