Pinned Repositories
shameru
AdaIN-style
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
adaptive-style-transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
automated-deep-photo-style-transfer
TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"
beautifulMaps
big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
CBStyling
Styling individual objects in an image
depth-aware-nst-using-in
Depth-aware Neural Style Transfer using Instance Normalization
Neural-IMage-Assessment
A PyTorch Implementation of Neural IMage Assessment
NSTforComputerGames
Neural Style Transfer for Computer Games (BMVC 2023)
ioannouE's Repositories
ioannouE/depth-aware-nst-using-in
Depth-aware Neural Style Transfer using Instance Normalization
ioannouE/NSTforComputerGames
Neural Style Transfer for Computer Games (BMVC 2023)
ioannouE/adaptive-style-transfer
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
ioannouE/automated-deep-photo-style-transfer
TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"
ioannouE/beautifulMaps
ioannouE/big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
ioannouE/CBStyling
Styling individual objects in an image
ioannouE/consistent_depth
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
ioannouE/deep-photo-styletransfer-tf
Tensorflow (Python API) implementation of Deep Photo Style Transfer
ioannouE/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ioannouE/fast-artistic-videos
Video style transfer using feed-forward networks.
ioannouE/fast-neural-style
Feedforward style transfer
ioannouE/Neural-IMage-Assessment
A PyTorch Implementation of Neural IMage Assessment
ioannouE/structure-nst
Structure-Preserving Neural Style Transfer
ioannouE/fast-neural-style-1
pytorch implementation of fast-neural-style
ioannouE/FastPhotoStyle
Style transfer, deep learning, feature transform
ioannouE/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
ioannouE/legesher-translations
Home of all the translations for spoken languages into programming language
ioannouE/magenta
Magenta: Music and Art Generation with Machine Intelligence
ioannouE/MakingArtisticMapsWithPython
Making maps with Python
ioannouE/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
ioannouE/neural-style
Torch implementation of neural style algorithm
ioannouE/neural-style-tf
TensorFlow (Python API) implementation of Neural Style
ioannouE/neural_renderer
"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
ioannouE/psnet
Code for WACV2020 paper "PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color"
ioannouE/pytorch-reconet
PyTorch implementation of "ReCoNet: Real-time Coherent Video Style Transfer Network" paper
ioannouE/PytorchNeuralStyleTransfer
Implementation of Neural Style Transfer in Pytorch
ioannouE/relative-depth-using-pytorch
Depth from a single RGB image using crowd-sourcing relative-depth datasets. The pytorch implementation of the NIPS paper: Single-Image Depth Perception in the Wild.
ioannouE/structure-nst-docker
A docker to implement structure-nst from https://github.com/xch-liu/structure-nst
ioannouE/style_transfer_3d
Code of 2D-to-3D style transfer in the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.