5 papers
Generative Zoo
Tomasz Niewiadomski, Anastasios Yiannakidis, Hanz Cuevas-Velasquez +4
The model-based estimation of 3D animal pose and shape from images enables computational modeling of animal behavior. Training models for this purpose requires large amounts of lab…
Reconstructing Animals and the Wild
Peter Kulits, Michael J. Black, Silvia Zuffi
The idea of 3D reconstruction as scene understanding is foundational in computer vision. Reconstructing 3D scenes from 2D visual observations requires strong priors to disambiguate…
Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images
Ci Li, Yi Yang, Zehang Weng +3
In recent years, 3D parametric animal models have been developed to aid in estimating 3D shape and pose from images and video. While progress has been made for humans, it's more ch…
CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation
Ci Li, Elin Hernlund, Hedvig Kjellström +1
In the monocular setting, predicting 3D pose and shape of animals typically relies solely on visual information, which is highly under-constrained. In this work, we explore using a…
AWOL: Analysis WithOut synthesis using Language
Silvia Zuffi, Michael J. Black
Many classical parametric 3D shape models exist, but creating novel shapes with such models requires expert knowledge of their parameters. For example, imagine creating a specific…