SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
Self-supervised landmark estimation is a challenging task that demands the formation of
locally distinct feature representations to identify sparse facial landmarks in the absence of …
locally distinct feature representations to identify sparse facial landmarks in the absence of …
An integrated cloud-edge-device adaptive deep learning service for cross-platform web
Deep learning shows great promise in providing more intelligence to the cross-platform web.
However, insufficient infrastructure, heavy models, and intensive computation limit the use of …
However, insufficient infrastructure, heavy models, and intensive computation limit the use of …
Develo** an artificial intelligence (AI)‐based descriptor of facial appearance that fits with the assessments of makeup experts
Objective To develop an AI‐based automatic descriptor that detects and grades, from selfie
pictures, 23 facial signs, hairs included, as a help to making‐up procedures. Material and …
pictures, 23 facial signs, hairs included, as a help to making‐up procedures. Material and …
Deep graphics encoder for real-time video makeup synthesis from example
While makeup virtual-try-on is now widespread, parametrizing a computer graphics
rendering engine for synthesizing images of a given cosmetics product remains a …
rendering engine for synthesizing images of a given cosmetics product remains a …
Real‐time Virtual‐Try‐On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers
Augmented reality applications have rapidly spread across online retail platforms and social
media, allowing consumers to virtually try‐on a large variety of products, such as makeup …
media, allowing consumers to virtually try‐on a large variety of products, such as makeup …
LipAT: Beyond style transfer for controllable neural simulation of Lipstick using cosmetic attributes
Lipstick virtual try-on (VTO) experiences have become widespread across the e-commerce
sector and assist users in eliminating the guesswork of shop** online. However, such …
sector and assist users in eliminating the guesswork of shop** online. However, such …