ResearchBenchmarksConditional Image Generation on Fine-grained BirdsConditional Image Generation on Fine-grained BirdsFollow14.1AccuracyNA-RFM-0.5643.2437.0510.857Feb 11, 2026Evaluation resultsMethodMethodLinksAccuracyFIDNA-RFMClassifier evaluations...Classifier evaluations at inference=zero2026.0214.172TFG-4Nrecur (Number of recu...Nrecur (Number of recursions)=42026.022.2259TFG-1Nrecur (Number of recu...Nrecur (Number of recursions)=12026.021.3256UGD2026.021.1255FreeDoM2026.020.6258MPGD2026.020.6249LGD2026.020.5246DPS2026.020348