Skip to content

Latest commit

 

History

History
76 lines (38 loc) · 3.38 KB

File metadata and controls

76 lines (38 loc) · 3.38 KB

Study materials of various generative image models

👕 Image Generation

Auto Encoder

Open In Colab

Auto Encoder based on GRU

Open In Colab

Denoising with Auto Encoder

Open In Colab

Deep Convolutional VAE ( Variational Auto Encoder )

Open In Colab

latent vector of VAE generation samples of VAE

Deep Convolutional GAN ( Generative Adversarial Nets )

Open In Colab

generation samples of DCGAN

Denoising Diffusion Model

Open In Colab

Epoch 1st of DDM training Epoch 50th of DDM training

Image Interpolation with 2 initial gausian noises

Interpolation of Images

📝 Text Generation

Recurrent Neural Network ( LSTM, GRU, Bidirectional )

Open In Colab

Details how RNN constructs Texts

generation flow by RNN

Recurrent Neural Network with Attention

Open In Colab

Attention Mechanism