Abstract: Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data mining.

The codebase provides the official PyTorch implementation and some model checkpoints for the paper "AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real ...