This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation (SIGGRAPH Asia 2021)

PyTorch DDPM implementation

Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

Image Captioning Using Transformer

Give a portrait face, move the gaze up (ACM MM 2020)

[Official Implementation] Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks, He et.al. ICCV 2019

Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild

Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with RaspberryPi + Python. In order to maximize the learning efficiency of the model, this learns only the "Person…

Iris landmarks localization.

Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.

[ACM MM 2020] Code and Data For Controllable Continuous Gaze Redirection.