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Nadine Rüegg

2 accepted papers

2023

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation

CVPR 2023poster

We address the problem of inferring the 3D shape and pose of dogs from images. Given the lack of 3D training data, this problem is challenging, and the best methods lag behind those designed to estimate human shape and pose. To make progress, we attack the problem from multiple sides at once. First,…

Cited by 29SourcePDFScholar
2022

BARC: Learning To Regress 3D Dog Shape From Images by Exploiting Breed Information

CVPR 2022poster

Our goal is to recover the 3D shape and pose of dogs from a single image. This is a challenging task because dogs exhibit a wide range of shapes and appearances, and are highly articulated. Recent work has proposed to directly regress the SMAL animal model, with additional limb scale parameters, fro…

Cited by 52PDFScholar