Search Results for author: Octave Mariotti

Found 5 papers, 0 papers with code

Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps

no code implementations20 Dec 2023 Octave Mariotti, Oisin Mac Aodha, Hakan Bilen

To address these limitations, we propose a new approach for semantic correspondence estimation that supplements discriminative self-supervised features with 3D understanding via a weak geometric spherical prior.

Representation Learning Semantic correspondence

Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields

no code implementations5 Jun 2023 Thomas Walker, Octave Mariotti, Amir Vaxman, Hakan Bilen

We introduce Explicit Neural Surfaces (ENS), an efficient smooth surface representation that directly encodes topology with a deformation field from a known base domain.

Surface Reconstruction

ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields

no code implementations1 Dec 2022 Octave Mariotti, Oisin Mac Aodha, Hakan Bilen

We introduce ViewNeRF, a Neural Radiance Field-based viewpoint estimation method that learns to predict category-level viewpoints directly from images during training.

Viewpoint Estimation

ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation

no code implementations ICCV 2021 Octave Mariotti, Oisin Mac Aodha, Hakan Bilen

Understanding the 3D world without supervision is currently a major challenge in computer vision as the annotations required to supervise deep networks for tasks in this domain are expensive to obtain on a large scale.

Image Reconstruction Self-Supervised Learning +1

Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation

no code implementations2 Apr 2021 Octave Mariotti, Hakan Bilen

There is a growing interest in developing computer vision methods that can learn from limited supervision.

Viewpoint Estimation

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