Real-time Hair Segmentation and Recoloring on Mobile GPUs

07/15/2019
by   Andrei Tkachenka, et al.
0

We present a novel approach for neural network-based hair segmentation from a single camera input specifically designed for real-time, mobile application. Our relatively small neural network produces a high-quality hair segmentation mask that is well suited for AR effects, e.g. virtual hair recoloring. The proposed model achieves real-time inference speed on mobile GPUs (30-100+ FPS, depending on the device) with high accuracy. We also propose a very realistic hair recoloring scheme. Our method has been deployed in major AR application and is used by millions of users.

READ FULL TEXT

page 2

page 3

research
07/15/2019

Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs

We present an end-to-end neural network-based model for inferring an app...
research
06/18/2020

MediaPipe Hands: On-device Real-time Hand Tracking

We present a real-time on-device hand tracking pipeline that predicts ha...
research
08/03/2023

Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios

We present a pipeline for realistic embedding of virtual objects into fo...
research
05/24/2023

Generative Adversarial Shaders for Real-Time Realism Enhancement

Application of realism enhancement methods, particularly in real-time an...
research
11/01/2021

Principles towards Real-Time Simulation of Material Point Method on Modern GPUs

Physics-based simulation has been actively employed in generating offlin...
research
08/26/2023

DM-VTON: Distilled Mobile Real-time Virtual Try-On

The fashion e-commerce industry has witnessed significant growth in rece...
research
06/19/2020

Attention Mesh: High-fidelity Face Mesh Prediction in Real-time

We present Attention Mesh, a lightweight architecture for 3D face mesh p...

Please sign up or login with your details

Forgot password? Click here to reset