TiTok-S-128

Reported on 2 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

Image GenerationonImageNet 256x256
FID· 2024-06-11
1.97
best: 1.06 (SiT-XL/2 + UCGM-S (E2E-VAE + 40 sampling steps + CFG))
An Image is Worth 32 Tokens for Reconstruction and Generation arXiv:2406.07550
Image ReconstructiononImageNet
FID· 2024-06-11
1.71
best: 0.49 (MGVQ (16x16x8))
An Image is Worth 32 Tokens for Reconstruction and Generation arXiv:2406.07550