5 citations · 5 across the 1 of their papers we have counts for
6 papers
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…
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…