Every Method, Every Sample
Pick a direction and step through the test set. Tap a tile to enlarge it; the row of numbers is the frozen suite that rescored every submission from its own outputs.
Where aligned pairs are plentiful (RGB→IR, same collection) the task is essentially solved and every method looks alike. Where they are scarce (SAR→IR, SAR→RGB, cross collection) every method degrades, differing only in how: the GAN family averages texture away into mush, our discrete-token student commits to one, and neither escapes the band. "Oracle" is the target tokenizer reconstructing the ground truth itself: the ceiling any token method can reach, far below every translation error, so representation is not the bottleneck.