166 Open source projects that are alternatives of or similar to feed_forward_vqgan_clip

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

🇰🇷 Text to Image in Korean

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

Implementation of VLAE

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

PyTorch Implementation of Generative Query Network

Deep Markov Models

text-to-image generation gems / libraries incl. moonbirds, cyberpunks, coolcats, shiba inu doge, nouns & more

Style transfer using deep convolutional neural nets

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Single cell perturbation prediction

Generate images from texts. In Russian

Unsupervised learning and generative models in python/pytorch.

A stable algorithm for GAN training

Pytorch implementation of Generated Image Quality Assessment

Conditional out-of-distribution prediction

A pytorch implementation of MINE(Mutual Information Neural Estimation)

A Tensorfflow implementation of Attend, Infer, Repeat

Adversarial Generation of Continuous Images [CVPR 2021]

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"

Pytorch implementation of pix2pix for various datasets.

Semantic Image Inpainting

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

This repository contains the source code for the paper First Order Motion Model for Image Animation

Document image generator

Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Network-to-Network Translation with Conditional Invertible Neural Networks

The SimNets Architecture's Implementation in Caffe

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)

Periodic Spatial Generative Adversarial Networks

Neural Relation Understanding: neural cardinality estimators for tabular data

Spectral Normalization for Keras Dense and Convolution Layers

DGMs for NLP. A roadmap.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.

Implementation of "MelNet: A Generative Model for Audio in the Frequency Domain"

Variational Autoencoder trained by Feature Perceputal Loss

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

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Conditional GAN for Anime face generation.

Research Framework for easy and efficient training of GANs based on Pytorch

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Stacked Generative Adversarial Networks

Multi-style Generative Network for Real-time Transfer

Code for reproducing results in "Generative Model with Dynamic Linear Flow"

A deep generative model library in Theano and Lasagne

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

Torch Implemention of ECCV'16 paper: Attribute2Image