Local Implicit Image Function

Local Implicit Image Functions (LIIFs) represent images as continuous functions, enabling arbitrary-scale super-resolution (SR) and other image manipulation tasks by predicting pixel values from spatial coordinates and learned features. Current research focuses on improving efficiency, addressing real-world image degradation, and enhancing model architectures like multi-scale and deformable implicit representations, often incorporating techniques such as attention mechanisms and positional encoding to improve accuracy and reduce computational cost. This approach offers significant potential for improving image processing applications requiring flexible scaling and high-quality results, particularly in areas like 360° imaging and real-time SR.