deep-generative-models

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance

The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.

This is the official implementation of RL-Chord (TNNLS).

Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.

Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.

Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)

PyTorch Implementations of Popular Deep Generative Models.

A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks

Official PyTorch implementation of the paper "MultiSpectral diffusion: joint generation of wavelet coefficients for image synthesis and upsampling"

Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450

Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks

Exercises from IT3030 V20

Deep Generative Models with clean and well-annotated PyTorch re-implementation

Comparison of standard autoencoder and variational autoencoder (VAE) as deep generative models