Official PyTorch implementation of the paper "Neural Congealing: Aligning Images to a Joint Semantic Atlas" (CVPR 2023)

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Code for "Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose" (Arxiv 2020) and "Predicting Personalized Head Movement From Short Video and Speech Signal" (TMM 2022)

Instant Real-Time Example-Based Style Transfer to Facial Videos

"Interactive Video Stylization Using Few-Shot Patch-Based Training" by O. Texler et al. in PyTorch Lightning

Using modified BiSeNet for face parsing in PyTorch

Our implementation of "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models" (Egor Zakharov et al.)

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

Try out deep learning models online on Google Colab

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Image-to-image translation with conditional adversarial nets

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Lightweight C++ command line option parser

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

ReCoNet: Real-time Coherent Video Style Transfer Network (ACCV 2018)

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"

✏️ Neural Style Transfer: A Review

Fast Example-based Image Synthesis and Style Transfer

JSON for Modern C++