Seminars on master's course "Generative Models in Computer Vision" from ABBYY chair at MIPT (spring 2020)
- Likelihood model in 1D - fitting histogram using SGD
- Deep Autoregressive model in 2D
- Detaled study of RealNVP model in 2D
Module 2 (latent variable models)
- VAE on 2D data
- investigation of posterior collapse situations
- VAE on image data
Module 3 (generative adversarial networks)
- GAN Loss and Non-saturating Loss on 1D data
- SNGAN on CIFAR10
- BiGAN on MNIST
- CycleGAN on Colored MNIST