Computer Vision

Understanding the visual world around us

Computer Vision researchers at Facebook are inventing new ways for computers to gain a higher level of understanding cued from the visual world around us.

We are creating visual sensors derived from digital images and videos that extract information about our environment, to further enable Facebook services to automate tasks that people automatically do today visually. Our ultimate goal, to automatically, and intelligently enhance people’s experiences across Facebook products.

Latest Publications

All Publications

SIGGRAPH - August 9, 2021

Deep Relightable Appearance Models for Animatable Faces

Sai Bi, Stephen Lombardi, Shunsuke Saito, Tomas Simon, Shih-En Wei, Kevyn Mcphail, Ravi Ramamoorthi, Yaser Sheikh, Jason Saragih

CVPR - June 19, 2021

Pixel Codec Avatars

Shugao Ma, Tomas Simon, Jason Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh

CVPR - June 19, 2021

SimPoE: Simulated Character Control for 3D Human Pose Estimation

Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason Saragih

CVPR - June 1, 2021

Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans

Bindita Chaudhuri, Nikolaos Sarafianos, Linda Shapiro, Tony Tung

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