Implicit Camera Model

Implicit camera models represent the camera's imaging process as a neural network, offering a powerful alternative to traditional explicit models. Current research focuses on using these implicit models, often based on coordinate-based neural networks, to solve inverse imaging problems like generating all-in-focus and high dynamic range images by learning to model aspects such as aperture and exposure. This approach allows for flexible and accurate modeling of complex imaging phenomena, potentially improving various computer vision and image processing applications. The resulting improvements in image quality and the ability to tackle challenging inverse problems highlight the significance of this emerging field.