activity
20182023
most citedMulti-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

56 citations · 64 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CV2023

NICP: Neural ICP for 3D Human Registration at Scale

Riccardo Marin, Enric Corona, Gerard Pons-Moll

Aligning a template to 3D human point clouds is a long-standing problem crucial for tasks like animation, reconstruction, and enabling supervised learning pipelines. Recent data-dr…

cs.CV2022

Structured 3D Features for Reconstructing Controllable Avatars

Enric Corona, Mihai Zanfir, Thiemo Alldieck +3

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, sta…

cs.CV2022★ 1 cited

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

Enric Corona, Gerard Pons-Moll, Guillem Alenyà +1

We propose a novel optimization-based paradigm for 3D human model fitting on images and scans. In contrast to existing approaches that directly regress the parameters of a low-dime…

cs.CV2022★ 5 cited

LISA: Learning Implicit Shape and Appearance of Hands

Enric Corona, Tomas Hodan, Minh Vo +4

This paper proposes a do-it-all neural model of human hands, named LISA. The model can capture accurate hand shape and appearance, generalize to arbitrary hand subjects, provide de…

cs.CV2022

Enhancing Egocentric 3D Pose Estimation with Third Person Views

Ameya Dhamanaskar, Mariella Dimiccoli, Enric Corona +2

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. The key idea is to levera…

cs.CV2021

SMPLicit: Topology-aware Generative Model for Clothed People

Enric Corona, Albert Pumarola, Guillem Alenyà +2

In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that re…

cs.RO2020★ 56 cited

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

Jens Lundell, Enric Corona, Tran Nguyen Le +5

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. Reaso…

cs.CV2020

D-NeRF: Neural Radiance Fields for Dynamic Scenes

Albert Pumarola, Enric Corona, Gerard Pons-Moll +1

Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a s…

cs.CV2020★ 2 cited

PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation

Wen Guo, Enric Corona, Francesc Moreno-Noguer +1

Recent literature addressed the monocular 3D pose estimation task very satisfactorily. In these studies, different persons are usually treated as independent pose instances to esti…

cs.CV2019

Context-aware Human Motion Prediction

Enric Corona, Albert Pumarola, Guillem Alenyà +1

The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision. Current state-of-the-art formulate…

cs.CV2018

Pose Estimation for Objects with Rotational Symmetry

Enric Corona, Kaustav Kundu, Sanja Fidler

Pose estimation is a widely explored problem, enabling many robotic tasks such as grasping and manipulation. In this paper, we tackle the problem of pose estimation for objects tha…