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. Author manuscript; available in PMC: 2024 Oct 1.
Published in final edited form as: IEEE Trans Pattern Anal Mach Intell. 2023 Sep 5;45(10):11707–11719. doi: 10.1109/TPAMI.2023.3287774

TABLE 2:

Quantitative results for the fixed-domain UNIT setting on both facial and ImageNet images.

Method Facial Images ImageNet Images

seg→face sketch→face landmark→face seg→cat seg→dog seg→plane
FID↓ LPIPS↓ FID↓ FID↓ LPIPS↓ FID↓ LPIPS↓ FID↓ LPIPS↓ FID↓ LPIPS↓
CycleGAN [1] 132.6 0.550 120.8 328.1 0.607 278.3 0.709 317.1 0.745 172.1 0.716
CUT [3] 38.9 0.435 87.6 287.6 0.595 342.9 0.699 350.3 0.752 148.3 0.695
MUNIT [24] 212.1 0.623 266.4 184.0 0.665 339.9 0.820 372.4 0.902 312.7 0.764

StarGANv2 [8] 53.7 0.532 85.4 99.5 0.557 - - - - - -
DRIT++ [6] 132.2 0.511 107.5 305.4 0.859 - - - - - -

Latent Anchor (ours) 83.8 0.442 84.3 88.1 0.510 77.9 0.661 79.7 0.654 44.3 0.713