A curated list of deep learning resources for Art
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Updated
Mar 27, 2017
A curated list of deep learning resources for Art
Deep learning using tensorflow
Web application which uses a neural art algorithm to merge a style and content image
Code for "Convolutional Photomosaic Generation via MultiScale Perceptual Losses" presented at the Workshop on Computer Vision for Fashion, Art and Design at ECCV2018. Accepted paper here: https://drive.google.com/file/d/1yPn-pY7kJGEWdQvt3AsFPPnQ-Bk1Dk4x/view
A curated list of awesome neural network-based art resources.
Arbitrary Style Transfer with Style-Attentional Networks
PLEASE CHECK README -- I did not write most of this code.
A simple library that implements CLIP guided loss in PyTorch.
Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [2021 8th NAFOSTED Conference on Information and Computer Science]
an interface for generating music with a VAE
Neural art management tool powered by Stable Diffusion.
A style-attention-void-aware style transfer model that learns the blank-leaving information during the style transfer.
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