tohinz

Bidirectional-InfoGAN

Results and Implementation Details of: "Inferencing Based on Unsupervised Learning of Disentangled Representations"

CharacterGAN

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

ConSinGAN

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

ganspace

Discovering Interpretable GAN Controls [NeurIPS 2020]

Image-Generation-And-Translation

Results and Implementation Details of: "Image Generation and Translation with Disentangled Representations"

multiple-objects-gan

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

pytorch-mac-network

Pytorch implementation of the MAC-Network

semantic-object-accuracy-for-generative-text-to-image-synthesis

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

SVHN-Classifier

Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.

TF-Learning-What-and-Where-to-Draw

Tensorflow implementation of the NIPS 2016 paper "Learning What and Where to Draw" by Scott Reed et al.

tohinz/ConSinGAN

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

tohinz/CharacterGAN

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

tohinz/multiple-objects-gan

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

tohinz/SVHN-Classifier

Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.

tohinz/pytorch-mac-network

Pytorch implementation of the MAC-Network

tohinz/Bidirectional-InfoGAN

Results and Implementation Details of: "Inferencing Based on Unsupervised Learning of Disentangled Representations"

tohinz/TF-Learning-What-and-Where-to-Draw

Tensorflow implementation of the NIPS 2016 paper "Learning What and Where to Draw" by Scott Reed et al.

tohinz/Image-Generation-And-Translation

Results and Implementation Details of: "Image Generation and Translation with Disentangled Representations"

tohinz/ganspace

Discovering Interpretable GAN Controls [NeurIPS 2020]

tohinz/MNIST-Classifier

Simple classifier to classify MNIST images.

tohinz/models

Models and examples built with TensorFlow

tohinz/SinGAN-1

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

tohinz/switch-cuda

A simple bash script for switching between installed versions of CUDA.

tohinz/tohinz

tohinz/tohinz.github.io