no code implementations • 13 Mar 2024 • Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan, Nikos Kolotouros, Thiemo Alldieck, Cristian Sminchisescu
We propose VLOGGER, a method for audio-driven human video generation from a single input image of a person, which builds on the success of recent generative diffusion models.
1 code implementation • 21 Dec 2023 • Riccardo Marin, Enric Corona, Gerard Pons-Moll
NSR achieves the state of the art over public benchmarks, and the release of its code and checkpoints will provide the community with a powerful tool useful for many downstream tasks like dataset alignments, cleaning, or asset animation.
no code implementations • CVPR 2023 • Enric Corona, Mihai Zanfir, Thiemo Alldieck, Eduard Gabriel Bazavan, Andrei Zanfir, Cristian Sminchisescu
We introduce Structured 3D Features, a model based on a novel implicit 3D representation that pools pixel-aligned image features onto dense 3D points sampled from a parametric, statistical human mesh surface.
no code implementations • 12 May 2022 • Enric Corona, Gerard Pons-Moll, Guillem Alenyà, Francesc Moreno-Noguer
An exhaustive evaluation demonstrates that our approach is able to capture the underlying body of clothed people with very different body shapes, achieving a significant improvement compared to state-of-the-art.
no code implementations • CVPR 2022 • Enric Corona, Tomas Hodan, Minh Vo, Francesc Moreno-Noguer, Chris Sweeney, Richard Newcombe, Lingni Ma
This paper proposes a do-it-all neural model of human hands, named LISA.
1 code implementation • 6 Jan 2022 • Ameya Dhamanaskar, Mariella Dimiccoli, Enric Corona, Albert Pumarola, Francesc Moreno-Noguer
In this paper, we propose a novel approach to enhance the 3D body pose estimation of a person computed from videos captured from a single wearable camera.
1 code implementation • CVPR 2021 • Enric Corona, Albert Pumarola, Guillem Alenyà, Gerard Pons-Moll, Francesc Moreno-Noguer
In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry.
1 code implementation • 17 Dec 2020 • Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Gregory Rogez, Francesc Moreno-Noguer, Ville Kyrki
While there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi-finger robotic hands remains a quite unexplored research topic.
1 code implementation • CVPR 2021 • Albert Pumarola, Enric Corona, Gerard Pons-Moll, Francesc Moreno-Noguer
In this paper we introduce D-NeRF, a method that extends neural radiance fields to a dynamic domain, allowing to reconstruct and render novel images of objects under rigid and non-rigid motions from a \emph{single} camera moving around the scene.
no code implementations • 11 Oct 2020 • Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda
Our pose interacting network, or PI-Net, inputs the initial pose estimates of a variable number of interactees into a recurrent architecture used to refine the pose of the person-of-interest.
3D Multi-Person Pose Estimation (root-relative) 3D Pose Estimation
1 code implementation • CVPR 2020 • Enric Corona, Albert Pumarola, Guillem Alenya, Francesc Moreno-Noguer, Gregory Rogez
To this end, we introduce a generative model that jointly reasons in all these levels and 1) regresses the 3D shape and pose of the objects in the scene; 2) estimates the grasp types; and 3) refines the 51-DoF of a 3D hand model that minimize a graspability loss.
no code implementations • CVPR 2020 • Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer
The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision.
no code implementations • 13 Oct 2018 • Enric Corona, Kaustav Kundu, Sanja Fidler
In particular, our aim is to infer poses for objects not seen at training time, but for which their 3D CAD models are available at test time.