A style-attention-void-aware style transfer model that learns the blank-leaving information during the style transfer.
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Updated
Jun 9, 2023 - Jupyter Notebook
A style-attention-void-aware style transfer model that learns the blank-leaving information during the style transfer.
Web application which uses a neural art algorithm to merge a style and content image
PLEASE CHECK README -- I did not write most of this code.
Neural art management tool powered by Stable Diffusion.
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
an interface for generating music with a VAE
A simple library that implements CLIP guided loss in PyTorch.
A curated list of deep learning resources for Art
Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [2021 8th NAFOSTED Conference on Information and Computer Science]
A curated list of awesome neural network-based art resources.
Arbitrary Style Transfer with Style-Attentional Networks
Deep learning using tensorflow
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