Efficient Image Retouching with Lookup Tables: Achieving High Performance and Low Power Consumption

The proposed ICELUT model achieves near-state-of-the-art image enhancement performance with extremely efficient inference by converting the neural network backbone and fully connected layers into lookup tables, enabling fast and low-power inference on edge devices.