Computer graphics is important for computer vision as it provides tools and techniques to simulate visual environments and create synthetic datasets. These datasets are invaluable for training and testing computer vision models, especially when real-world data is scarce or difficult to obtain.
Graphics also enhance visualization, helping researchers interpret results and debug models. For example, 3D rendering and animation aid in understanding object detection or pose estimation outputs.
In applications like augmented reality and robotics, computer graphics and vision work together to integrate virtual elements into real-world environments, showcasing their interdependence.