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20242026
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cs.CV2026

SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild

Xuyi Hu, Jin Lyu, Jiuming Liu +4

3D animal reconstruction in the wild remains challenging due to large species variation, frequent occlusions, and the prevalence of multi-animal scenes, while existing methods pred…

cs.CV2025

Learning to Predict Aboveground Biomass from RGB Images with 3D Synthetic Scenes

Silvia Zuffi

Forests play a critical role in global ecosystems by supporting biodiversity and mitigating climate change via carbon sequestration. Accurate aboveground biomass (AGB) estimation i…

cs.CV2025

Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos

Daniele Baieri, Riccardo Cicciarella, Michael Krützen +2

We address the problem of estimating the metric 3D shape and motion of wild dolphins from monocular video, with the aim of assessing their body condition. While considerable progre…

cs.CV2024

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…

cs.CV2024

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…