56 citations · 64 across the 7 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…