Anastasis Germanidis's repositories
Liquid-Warping-GAN
PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
image-super-resolution
Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
DeepPrivacy
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
face-parsing.PyTorch
Using modified BiSeNet for face parsing in PyTorch
fewshot-face-translation-GAN
Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
fast-style-transfer
fast style transfer on your webcam, with pre-trained models at
ResNet50-Features
Extracting features from images using a pre-trained ResNet50 network
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
Fast-SRGAN
A Single Image Super Resolution GAN that uses a mobile net architecture as a generator.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
squeezenet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
3DDFA
RunwayML port of 3DDFA
BigBiGAN
Runway Port of BigBiGAN from the paper "Large Scale Adversarial Representation Learning"
ctrl
Conditional Transformer Language Model for Controllable Generation (https://einstein.ai/presentations/ctrl.pdf)
ESRGAN
ESRGAN in Runway
Human-Segmentation-PyTorch
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
NeuralSteganography
STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS
SPADE-Tensorflow
Simple Tensorflow implementation of "Semantic Image Synthesis with Spatially-Adaptive Normalization" a.k.a. GauGAN, SPADE (CVPR 2019 Oral)
stargan
Official PyTorch Implementation of StarGAN - CVPR 2018
UGATIT
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
vae-lagging-encoder
PyTorch implementation of Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
yolact
A simple, fully convolutional model for real-time instance segmentation.