ioannouE

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"

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

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.