AI RESEARCH
Pioneering research on the path to AI-powered Realistic Human Avatars
We stand at the forefront of technological innovation, driving the acceleration of digital body avatar precision through our groundbreaking work in AI, computer vision, and deep learning.
We are committed to pioneering a new era where hyper-accurate 3D body avatars seamlessly integrate into the realms of fashion, healthcare, and fitness. By harnessing cutting-edge technology, we empower clothing brands and retailers to redefine the online shopping experience, healthcare providers to optimize patient care, and fitness companies to revolutionize personalized training programs.
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Our mission is not just about transforming industries; it's about shaping a future where the convergence of technology and human experience is truly transformative.
Join us on this exhilarating journey as we revolutionize the landscape of digital possibilities and make precision a standard, not an exception.
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Prof. Phil Torr
Director, Chief Technologist
Prof. William Smith
Senior Researcher, Engineer & Adviser
Dr. Dizhong Zhu
Lead Researcher & Technical Lead
Dr. Guangrun Wang
Eingineer & Adviser
University of Oxford
TORR VISION GROUP
Phil leads the Torr Vision Group at the Universityof Oxford. The aim of the group is to engage in state of the art research into the mathematical theory of computer vision and artificial intelligence, but to keep the mathematical research relevant to the needs of society.
UNIVERSITY OF YORK
Will's research interests include: Inverse rendering, physics-based vision, 3D computer vision, statistical shape modelling, self-supervised learning, surveying and mapping, illumination and reflectance modelling, 3D face processing and psychology and neuropsychology of face perception.
VISITING RESEARCHER
Dr. Zhu's research interests include 3D reconstruction, visualisation and supervised learning.
UNIVERSITY OF OXFORD
Torr VISION GROUP
Guangrun has published over 30 papers at CVPR, ICCV, NeurIPS, KDD, ECCV, CIKM, AAAI, EMNLP, and T-PAMI. His doctoral thesis was awarded the Wu Wenjun AI Outstanding Doctoral Dissertation Award. He also received the Best Paper Award from the international journal Pattern Recognition.