3D Animal Model

3D animal models are being developed to facilitate the analysis of animal shape, pose, and behavior from images and videos, addressing the challenges posed by limited annotated data and complex animal movements. Current research focuses on developing robust methods for 3D reconstruction from various input modalities, including images, videos, and even sketches, often employing techniques like synthetic data generation, self-supervised learning, and disentangled representations to improve accuracy and generalization across diverse animal species. These advancements are significant for fields like wildlife conservation and behavioral biology, enabling more efficient and accurate data collection and analysis for a wider range of animals. The creation of large-scale, high-quality datasets is also a key focus to support the development and evaluation of these models.