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viliusmat's Projects

deca icon deca

DECA: Detailed Expression Capture and Animation

deep-iterative-collaboration icon deep-iterative-collaboration

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

deep3dfacerecon_pytorch icon deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

delta icon delta

Learning Disentangled Avatars with Hybrid 3D Representations. (Face, Body, Hair and Clothing)

dense-head-pose-estimation icon dense-head-pose-estimation

[ECCV 2020] Reimplementation of "Towards Fast, Accurate and Stable 3D Dense Face Alignment", face mesh, head pose, landmarks, and more.

discofacegan icon discofacegan

Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)

dpr icon dpr

Code for Deep Single-image Portrait Image Relighting

eos icon eos

A lightweight 3D Morphable Face Model fitting library in modern C++14

fab icon fab

[ICCV 2019] FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

face-alignment-pytorch icon face-alignment-pytorch

A re-implement of training and Inference code for 2D-FAN and 3D-FAN decribed in "How far" paper for Face Alignment Net

face-pose-net icon face-pose-net

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

face2face icon face2face

A python library to to fit 3D morphable models to images of faces and capture facial performance overtime with no markers or a special mount

facegan icon facegan

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

facemesh.pytorch icon facemesh.pytorch

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

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