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Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

Official Pytorch implementation of "Learnable Gated Temporal Shift Module for Deep Video Inpainting. Chang et al. BMVC 2019." and the FVI dataset in "Free-form Video Inpainting with 3D Gated Convol…

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Code for "A Temporally-Aware Interpolation Network for Video Frame Inpainting"

A simple face detect and aligment method, it is easy and stable

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

🔥🔥 Deep Learning Head Pose Estimation using PyTorch.

Just draw a bounding box and you can remove the object you want to remove.

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

The reproduction of SRCNN method for super-resolution

🔥 2D and 3D Face alignment library build using pytorch

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Robust Facial Landmark Detection

VDSR (CVPR2016) pytorch implementation