Defocus Rendering

Defocus rendering focuses on accurately modeling and manipulating the blur inherent in images due to limited depth of field, aiming to improve image quality, 3D scene reconstruction, and realistic visual effects. Current research explores novel algorithms, often leveraging deep learning and Gaussian splatting techniques, to estimate depth maps from defocused images, generate realistic bokeh effects, and even remove or adjust defocus blur. These advancements have implications for various fields, including computer vision, 3D modeling, and photography, by enabling more accurate scene representation and improved image processing capabilities.