digital-nomad-cheng / Mobile_Portrait_Matting_PyTorch
Some portrait matting models designed for mobile device.
☆16Updated 5 years ago
Alternatives and similar repositories for Mobile_Portrait_Matting_PyTorch:
Users that are interested in Mobile_Portrait_Matting_PyTorch are comparing it to the libraries listed below
- ☆12Updated 5 years ago
- StyleGAN2 Distillation for Feed-forward Image Manipulation☆26Updated 4 years ago
- ☆51Updated 4 years ago
- Code for MVA 2019 Paper: Auto-Retoucher(ART)--A Framework for Background Replacement and Foreground adjustment☆20Updated 6 years ago
- ☆31Updated 6 years ago
- a lightweight image matting model☆69Updated 5 years ago
- Official implementation of VCIP 2020 paper: "Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decompo…☆27Updated 4 years ago
- We often change background after matting. But due to the matting precision, the edge of body, especially hair, often leak pixels contain …☆13Updated 4 years ago
- This is the repo for semantic segmentation with MobileNetV2+UNet architectures☆20Updated 5 years ago
- Human segmentation project(pytorch)☆28Updated 4 years ago
- Regress Face Attributes with MobileNetV2☆42Updated 5 years ago
- Re-implementation of pSp that use mobilenet-v3 and stylegan2-256p☆19Updated 3 years ago
- A Tri-map free direct Alpha Matting.☆12Updated 5 years ago
- Facial Sketch Render, ICASSP 2021☆28Updated 3 years ago
- GAN-Based Facial Attractiveness Enhancement☆70Updated 2 years ago
- Real time portrait matting on mobile phone using MNN inference engine.☆11Updated 4 years ago
- 1000点的人脸关键点检测☆17Updated 4 years ago
- 106-point face landmarks☆26Updated 5 years ago
- ☆20Updated last year
- Human Parsing with DeepLabv3 in PyTorch.☆28Updated 2 years ago
- 4K-Face: A Dataset with Huge Scale-variance Faces☆35Updated 5 years ago
- Face/Hair segmentation images dataset☆61Updated 6 years ago
- Official repository for Hierarchical Opacity Propagation for Image Matting☆54Updated 4 years ago
- faceshifter训练不稳定,通过使用stylegan2,对latents进行attrloss和idloss,会使得稳定性大大增加。而且可以产生更高分辨率和平滑的图像。☆16Updated 4 years ago
- ☆42Updated 3 years ago
- Vivid faces contains a demo of applying FRCNN on mobile platforms for extracting and training facial landmarks and 3D morph animations. C…☆19Updated 5 years ago
- Face SR and Deblur using GAN based network☆43Updated 4 years ago
- A reimplementation of the CVPR2019 paper *Learning-based Sampling for Natural Image Matting*.☆25Updated 5 years ago
- Real-time CPU person segmentation for privacy in video calls☆37Updated 4 years ago
- ☆11Updated 4 years ago