Articulated 3D

Articulated 3D research focuses on accurately modeling and reconstructing objects with interconnected parts, such as humans, animals, and tools, from various data sources like images and videos. Current efforts concentrate on developing robust and efficient methods, often employing neural implicit representations, differentiable rendering, and physics-based models, to handle complex articulations and diverse appearances. This field is crucial for advancing applications in robotics (e.g., manipulation), computer vision (e.g., 3D reconstruction), and animation, enabling more realistic and interactive simulations and virtual environments. The development of large-scale datasets and improved algorithms for handling noisy or incomplete data remain key challenges.