Pinned Repositories
AnimeGAN
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
AnimeGANv2
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
AnimeGANv3
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
AnimeGANv3_gui.exe
The UI tool based on pyqt5 to call the AnimeGANv3 model.
AnimeGANv3_Portrait_Inference
The whole image inference based on the onnx model of AnimeGANv3
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Remote-sensing-image-semantic-segmentation
The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
Remote-sensing-image-semantic-segmentation-tf2
The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.
Road-Crack-Segmentation--Keras
The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.
State-Farm-Distracted-Driver-Detect-Pytorch
This project is from a kaggle competition in 2016, we use mobileNet V2 to achieve classification recognition based on pytorch.
TachibanaYoshino's Repositories
TachibanaYoshino/AnimeGANv2
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
TachibanaYoshino/AnimeGAN
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
TachibanaYoshino/AnimeGANv3
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
TachibanaYoshino/Remote-sensing-image-semantic-segmentation
The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
TachibanaYoshino/Remote-sensing-image-semantic-segmentation-tf2
The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.
TachibanaYoshino/Road-Crack-Segmentation--Keras
The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.
TachibanaYoshino/AnimeGANv3_gui.exe
The UI tool based on pyqt5 to call the AnimeGANv3 model.
TachibanaYoshino/AnimeGANv3_Portrait_Inference
The whole image inference based on the onnx model of AnimeGANv3
TachibanaYoshino/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
TachibanaYoshino/State-Farm-Distracted-Driver-Detect-Pytorch
This project is from a kaggle competition in 2016, we use mobileNet V2 to achieve classification recognition based on pytorch.
TachibanaYoshino/Toonify-Yourself
TachibanaYoshino/Anime-Sketch-Coloring-with-Swish-Gated-Residual-UNet
Implementation of paper which uses a swish-gated residual U-net to color line-art anime drawings
TachibanaYoshino/AnimeGAN.js
AnimeGAN.js: Photo Animation for Everyone
TachibanaYoshino/OpenPano
OpenPano: Automatic Panorama Stitching From Scratch
TachibanaYoshino/psnr-and-ssim
TachibanaYoshino/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
TachibanaYoshino/vtracer
Raster to Vector Graphics Converter
TachibanaYoshino/wenet_mnn
语音识别模型pytorch转ONNX转MNN，C++实现部署
TachibanaYoshino/AnimeGANv2_Tensorflow2
Implementing AnimeGANv2 with Tensorflow2
TachibanaYoshino/deep-speaker
Deep Speaker: an End-to-End Neural Speaker Embedding System.
TachibanaYoshino/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
TachibanaYoshino/NewSeaCity-AI-Media-Transfer
demo
TachibanaYoshino/RapidASR
A Cross platform implementation of Wenet ASR inference. It's based on ONNXRuntime and Wenet. We provide a set of easier APIs to call wenet models.
TachibanaYoshino/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
TachibanaYoshino/test
TachibanaYoshino/video-retalking
[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild