Enric Corona

Research Scientist, Google DeepMind

Email: enriccorona@google.com

Zurich, Switzerland

About me

I am a Research Scientist at Google DeepMind, working on Digital Humans and Generative AI. Previously, I completed my PhD at IRI-UPC under the supervision of Francesc Moreno-Noguer and Guillem Alenyà. During my PhD, I interned at Google Research with Thiemo Alldieck and Mihai Zanfir in 2022 and at Meta with Lingni Ma in 2021. I have also been a visitor at Naver Labs Europe with Grégory Rogez. Before starting my PhD, I visited Sanja Fidler at University of Toronto in 2017 and worked as a data scientist in IntelliSense.io.
My research is in areas of computer vision and machine learning, including modelling and reconstruction of 3D human bodies and hands.

Publications


VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis

Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan, Nikos Kolotouros, Thiemo Alldieck and Cristian Sminchisescu
in arXiv
Project Page    Paper    Supplementary    Video    Dataset    Bibtex

DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans

Akash Sengupta, Thiemo Alldieck, Nikos Kolotouros, Enric Corona, Andrei Zanfir and Cristian Sminchisescu
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Project Page    Paper    Video    Bibtex

Structured 3D Features for Reconstructing Relightable and Animatable Avatars

Enric Corona, Mihai Zanfir, Thiemo Alldieck, Eduard Gabriel Bazavan, Andrei Zanfir and Cristian Sminchisescu
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Project Page    Paper    Supplementary    Video    Bibtex

Learned Vertex Descent: A New Direction for 3D Human Model Fitting

Enric Corona, Gerard Pons-Moll, Guillem Alenyà, Francesc Moreno-Noguer
in Proceedings of the European Conference on Computer Vision (ECCV), 2022
Project Page     Paper    Video    Code        Bibtex

LISA: Learning Implicit Shape and Appearance of Hands

Enric Corona, Tomas Hodan, Minh Vo, Francesc Moreno-Noguer, Chris Sweeney, Richard Newcombe, Lingni Ma
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Project Page     Paper    Supplementary        Bibtex

SMPLicit: Topology-aware Generative Model for Clothed People

E. Corona, A. Pumarola, G. Alenyà, G. Pons-Moll, F. Moreno-Noguer
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Project Page       Paper      SMPLicit code    Fitting SMPLicit        Bibtex

D-NeRF: Neural Radiance Fields for Dynamic Scenes

A.Pumarola, E. Corona, G. Pons-Moll, F. Moreno-Noguer
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Project Page       Paper      Code          Bibtex

GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes

E. Corona, A. Pumarola, G. Alenyà, F. Moreno-Noguer; G. Rogez
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
Project Page       Paper      Dataset      Code      Bibtex

Context-aware Human Motion Prediction

E. Corona, A. Pumarola, G. Alenyà, F. Moreno-Noguer
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Project Page       Paper      Code      Bibtex

Pose Estimation for Objects with Rotational Symmetry

E. Corona, K. Kundu, S. Fidler
in IEEE International Conference on Intelligent Robots (IROS), 2018
Project Page     Paper     Code     Bibtex

Active garment recognition and target grasping pointdetection using deep learning

E. Corona, G. Alenyà, A. Gabàs, C. Torras
in Pattern Recognition (2018)
Project Page     Paper     Code     Bibtex

Robot-aided cloth classification using depth informationand CNNs

A. Gabàs, E.Corona, G. Alenyà, C. Torras
in International Conference on Articulated Motion and Deformable Objects (AMDO) 2016
Project Page     Paper     Bibtex

Past Professional Activities