3D Stroke

3D stroke research focuses on representing and manipulating three-dimensional objects using stroke-based models, aiming to create efficient and visually appealing representations for various applications. Current research employs diverse approaches, including optimization-based methods for generating and manipulating vectorized 3D strokes, and neural networks for tasks like stylized scene synthesis and multi-view reconstruction from 2D images. This work has implications for fields such as computer graphics, digital art, and robotics, enabling more intuitive and expressive 3D modeling and rendering techniques. The development of robust and efficient 3D stroke models promises advancements in areas like architectural design and artistic creation.