gargimahale / Doodle
π¨ Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
β20Updated 5 years ago
Alternatives and similar repositories for Doodle:
Users that are interested in Doodle are comparing it to the libraries listed below
- Official repository of the paper 'Attention-aware Multi-stroke Style Transfer' in CVPR 2019β81Updated 2 years ago
- Unofficial Pytorch(1.0+) implementation of paper [Fast Patch-based Style Transfer of Arbitrary Style](https://arxiv.org/abs/1612.04337).β60Updated 5 years ago
- β51Updated 4 years ago
- Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decorationβ179Updated 4 years ago
- Pytorch(1.0+) implementation of Universal Style Transfer via Feature Transforms.β34Updated 4 years ago
- Semi-Supervised Learning for Face Sketch Synthesis in the Wild, ACCV2018β88Updated 8 months ago
- Implementation of Neural Color Transfer between Images by PyTorch.β43Updated 5 years ago
- TextureGAN in Pytorchβ164Updated 6 years ago
- Structure-Preserving Neural Style Transferβ26Updated 5 years ago
- The source code of "single-reference color transfer" in "Progressive Color Transfer with Dense Semantic Correspondences".β78Updated 5 years ago
- Unofficial Implementation of the paper: StyleBank: An Explicit Representation for Neural Image Style Transferβ89Updated 6 years ago
- Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).β277Updated 2 years ago
- Official PyTorch implementation of BeautyGAN (ACM MM 2018)β222Updated 5 years ago
- The pytorch implementation for the paper "Self-Supervised Sketch-to-Image Synthesis" in AAAI-2021β66Updated 4 years ago
- This is the official Tensorflow implementation of our paper: "DualAST: Dual Style-Learning Networks for Artistic Style Transfer"β24Updated 3 years ago
- Code for Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping (CVPR 2020)β195Updated 2 years ago
- Semantic style transfer, code and data for "GLStyleNet: Exquisite Style Transfer Combining Global and Local Pyramid Features" (IET Computβ¦