3D mesh stylization driven by a text input in PyTorch
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Updated
May 19, 2024 - Jupyter Notebook
3D mesh stylization driven by a text input in PyTorch
Here I will put my cheatsheets
[NeurIPS 2022] Official code repository for "TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition"
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
Composable, light-weight style transfer
Executes the neural style transfer on an azure ND GPU machine with 24 GB GPU RAM to create images up to 1900px without tiling
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Use Neural Networks to Paint Images in Famous Styles
Tensorflow 2 implementation of Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Neural Style Transfer in Tensorflow 2.0
An implementation of "A Neural Algorithm of Artistic Style" in Keras
Neural style transfer using vgg-19 net
Server code exposing "neural-style" to the respective app (Neural Art Client) via Firebase
PyTorch implementation of neural style transfer algorithm
[ECCV'22] Official PyTorch Implementation of "CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes"
Generate an Image with the Same "Content" As a Base Image, But with the "Style" of a Different Picture
A dockerized version of neural style transfer algorithms
pytorch implementation of fast-neural-style
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