| bryandlee/animegan2-pytorch |
3,976 |
|
0 |
0 |
over 3 years ago |
0 |
|
31 |
mit |
Jupyter Notebook |
| PyTorch implementation of AnimeGANv2 |
| NELSONZHAO/zhihu |
3,228 |
|
0 |
0 |
almost 5 years ago |
0 |
|
31 |
|
Jupyter Notebook |
| This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. |
| kaonashi-tyc/zi2zi |
1,639 |
|
0 |
0 |
over 6 years ago |
0 |
|
44 |
apache-2.0 |
Python |
| Learning Chinese Character style with conditional GAN |
| AgaMiko/data-augmentation-review |
1,499 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others. |
| advimman/HiDT |
652 |
|
0 |
0 |
about 3 years ago |
0 |
|
8 |
bsd-3-clause |
Jupyter Notebook |
| Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral) |
| menyifang/DCT-Net |
618 |
|
0 |
0 |
over 2 years ago |
0 |
|
42 |
apache-2.0 |
Jupyter Notebook |
| Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization |
| VITA-Group/ShapeMatchingGAN |
386 |
|
0 |
0 |
almost 4 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| [ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN |
| OndrejTexler/Few-Shot-Patch-Based-Training |
326 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
|
C++ |
| The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training |
| ahmedbesbes/cartoonify |
313 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Deploy and scale serverless machine learning app - in 4 steps. |
| onion-liu/BlendGAN |
310 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
other |
Python |
| Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021) |
