ioannouE's repositories
depth-aware-nst-using-in
Depth-aware Neural Style Transfer using Instance Normalization
NSTforComputerGames
Neural Style Transfer for Computer Games (BMVC 2023)
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"
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
consistent_depth
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
deep-photo-styletransfer-tf
Tensorflow (Python API) implementation of Deep Photo Style Transfer
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fast-artistic-videos
Video style transfer using feed-forward networks.
fast-neural-style
Feedforward style transfer
Neural-IMage-Assessment
A PyTorch Implementation of Neural IMage Assessment
structure-nst
Structure-Preserving Neural Style Transfer
fast-neural-style-1
pytorch implementation of fast-neural-style
FastPhotoStyle
Style transfer, deep learning, feature transform
image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
legesher-translations
Home of all the translations for spoken languages into programming language
magenta
Magenta: Music and Art Generation with Machine Intelligence
MakingArtisticMapsWithPython
Making maps with Python
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"
neural-style
Torch implementation of neural style algorithm
neural-style-tf
TensorFlow (Python API) implementation of Neural Style
neural_renderer
"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
psnet
Code for WACV2020 paper "PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color"
pytorch-reconet
PyTorch implementation of "ReCoNet: Real-time Coherent Video Style Transfer Network" paper
PytorchNeuralStyleTransfer
Implementation of Neural Style Transfer in Pytorch
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.
structure-nst-docker
A docker to implement structure-nst from https://github.com/xch-liu/structure-nst
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.