3D Animal

Research on 3D animal modeling focuses on generating realistic and animatable 3D animal representations from various data sources, including images and videos, often leveraging deep learning techniques like diffusion models and transformers. Current efforts concentrate on improving the accuracy and anatomical consistency of generated models, addressing challenges like pose estimation, shape reconstruction, and cross-species animation through methods such as part-aware knowledge transfer and subject alignment. This work has significant implications for fields like wildlife conservation, behavioral studies, and virtual reality applications by providing tools for analyzing animal movement, creating realistic virtual environments, and generating high-quality digital assets.