Sketch Based

Sketch-based methods are transforming various fields by leveraging the power of visual input for efficient computation and creative generation. Current research focuses on developing algorithms that utilize sketches for dimensionality reduction in large-scale problems (e.g., least squares, recommendation systems), enabling faster and more memory-efficient solutions. Applications range from anomaly detection in medical imaging to 3D model generation and combined task and motion planning in robotics, highlighting the versatility and impact of sketch-based approaches across diverse domains. The ability to efficiently process and interpret sketch data promises significant advancements in both computational efficiency and human-computer interaction.