Conditional Image Generation on ImageNet 256x256 (val)
328.6Inception ScoreMaskBit
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MaskBit# Params (G)=305M, Tok. Model=LFQ, Token Type=2D, # Params (T)=54M, # Tokens=256, Pretrained vision models=false, CFG=true2026.03 | 328.6 | — | — | — | 1.52 | |
| RQ-Trans.# Params (G)=3.8B, Tok. Model=RQ, Token Type=2D, # Params (T)=66M, # Tokens=256, Pretrained vision models=false, CFG=true2026.03 | 323.7 | — | — | — | 3.8 | |
| VAR# Params (G)=2B, Tok. Model=MSRQ, Token Type=2D, # Params (T)=109M, # Tokens=680, Pretrained vision models=false, CFG=true2026.03 | 323.1 | — | — | — | 1.92 | |
| MDTv2-XL/2# Params (G)=676M, Tok. Model=KL, Token Type=2D, # Params (T)=55M, # Tokens=4096, Pretrained vision models=false, CFG=true2026.03 | 314.7 | — | — | — | 1.58 | |
| MAETok# Params (G)=675M, Tok. Model=AE, Token Type=1D, # Params (T)=176M, # Tokens=128, Pretrained vision models=true, CFG=true2026.03 | 311.2 | — | — | — | 1.67 | |
| MacTok+SiT-XL# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=64, Pretrained vision models=true, CFG=true2026.03 | 310.4 | — | — | — | 1.58 | |
| MacTok+LightningDiT# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=64, Pretrained vision models=true, CFG=true2026.03 | 307.3 | — | — | — | 1.68 | |
| +REPA# Params (G)=675M, Tok. Model=KL, Token Type=2D, # Params (T)=84M, # Tokens=1024, Pretrained vision models=true, CFG=true2026.03 | 305.7 | — | — | — | 1.42 | |
| l-DeTok# Params (G)=479M, Tok. Model=KL, Token Type=2D, # Params (T)=172M, # Tokens=256, Pretrained vision models=false, CFG=true2026.03 | 304.1 | — | — | — | 1.35 | |
| MAR-H# Params (G)=943M, Tok. Model=KL, Token Type=2D, # Params (T)=66M, # Tokens=256, Pretrained vision models=false, CFG=true2026.03 | 303.7 | — | — | — | 1.55 | |
| TexTok-256# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=256, Pretrained vision models=false, CFG=true2026.03 | 303.1 | — | — | — | 1.46 | |
| MacTok+SiT-XL# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=128, Pretrained vision models=true, CFG=true2026.03 | 302.5 | — | — | — | 1.44 | |
| MacTok+LightningDiT# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=128, Pretrained vision models=true, CFG=true2026.03 | 299.8 | — | — | — | 1.5 | |
| LightningDiT# Params (G)=675M, Tok. Model=KL, Token Type=2D, # Params (T)=70M, # Tokens=256, Pretrained vision models=true, CFG=true2026.03 | 295.3 | — | — | — | 1.35 | |
| ImageFolder# Params (G)=362M, Tok. Model=MSRQ, Token Type=1D, # Params (T)=176M, # Tokens=286, Pretrained vision models=true, CFG=true2026.03 | 295 | — | — | — | 2.6 | |
| TiTok-S-128# Params (G)=287M, Tok. Model=VQ, Token Type=1D, # Params (T)=72M, # Tokens=128, Pretrained vision models=false, CFG=true2026.03 | 281.8 | — | — | — | 1.97 | |
| SoftVQ-VAE# Params (G)=675M, Tok. Model=SoftVQ, Token Type=1D, # Params (T)=176M, # Tokens=64, Pretrained vision models=true, CFG=true2026.03 | 279 | — | — | — | 1.78 | |
| DiT-XL/2# Params (G)=675M, Token Type=2D, Pretrained vision models=false, CFG=true2026.03 | 278.2 | — | — | — | 2.27 | |
| WeTok# Params (G)=1.5B, Tok. Model=VQ, Token Type=2D, # Params (T)=400M, # Tokens=256, Pretrained vision models=false, CFG=true2026.03 | 276.6 | — | — | — | 2.31 | |
| SiT-XL/2# Params (G)=675M, Token Type=2D, Pretrained vision models=false, CFG=true2026.03 | 270.3 | — | — | — | 2.06 | |
| U-ViT-H/2# Params (G)=501M, Token Type=2D, Pretrained vision models=false, CFG=true2026.03 | 263.9 | — | — | — | 2.29 | |
| LlamaGen-3B# Params (G)=3.1B, Tok. Model=VQ, Token Type=2D, # Params (T)=72M, # Tokens=576, Pretrained vision models=false, CFG=true2026.03 | 263.3 | — | — | — | 2.18 | |
| LDM-4# Params (G)=400M, Token Type=2D, Pretrained vision models=false, CFG=true2026.03 | 247.7 | — | — | — | 3.6 | |
| l-DeTok# Params (G)=479M, Tok. Model=KL, Token Type=2D, # Params (T)=172M, # Tokens=256, Pretrained vision models=false, CFG=false2026.03 | 238.6 | — | — | — | 1.86 | |
| MAR-H# Params (G)=943M, Tok. Model=KL, Token Type=2D, # Params (T)=66M, # Tokens=256, Pretrained vision models=false, CFG=false2026.03 | 227.8 | — | — | — | 2.35 | |
| GigaTok# Params (G)=111M, Tok. Model=VQ, Token Type=1D, # Params (T)=622M, # Tokens=256, Pretrained vision models=true, CFG=true2026.03 | 224.3 | — | — | — | 3.15 | |
| MAETok# Params (G)=675M, Tok. Model=AE, Token Type=1D, # Params (T)=176M, # Tokens=128, Pretrained vision models=true, CFG=false2026.03 | 216.5 | — | — | — | 2.31 | |
| LightningDiT# Params (G)=675M, Tok. Model=KL, Token Type=2D, # Params (T)=70M, # Tokens=256, Pretrained vision models=true, CFG=false2026.03 | 205.6 | — | — | — | 2.17 | |
| MacTok+SiT-XL# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=128, Pretrained vision models=true, CFG=false2026.03 | 189.2 | — | — | — | 2.82 | |
| MacTok+LightningDiT# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=128, Pretrained vision models=true, CFG=false2026.03 | 186.2 | — | — | — | 3.12 | |
| MaskGIT# Params (G)=227M, Tok. Model=VQ, Token Type=2D, # Params (T)=66M, # Tokens=256, Pretrained vision models=false, CFG=false2026.03 | 182.1 | — | — | — | 6.18 | |
| MacTok+SiT-XL# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=64, Pretrained vision models=true, CFG=false2026.03 | 181.6 | — | — | — | 3.77 | |
| ViT-VQGAN# Params (G)=1.7B, Tok. Model=VQ, Token Type=2D, # Params (T)=64M, # Tokens=1024, Pretrained vision models=false, CFG=false2026.03 | 175.1 | — | — | — | 4.17 | |
| MacTok+LightningDiT# Params (G)=675M, Tok. Model=KL, Token Type=1D, # Params (T)=176M, # Tokens=64, Pretrained vision models=true, CFG=false2026.03 | 167.8 | — | — | — | 4.15 | |
| +REPA# Params (G)=675M, Tok. Model=KL, Token Type=2D, # Params (T)=84M, # Tokens=1024, Pretrained vision models=true, CFG=false2026.03 | 157.8 | — | — | — | 5.9 | |
| MDTv2-XL/2# Params (G)=676M, Tok. Model=KL, Token Type=2D, # Params (T)=55M, # Tokens=4096, Pretrained vision models=false, CFG=false2026.03 | 155.6 | — | — | — | 5.06 | |
| SoftVQ-VAE# Params (G)=675M, Tok. Model=SoftVQ, Token Type=1D, # Params (T)=176M, # Tokens=64, Pretrained vision models=true, CFG=false2026.03 | 138 | — | — | — | 5.98 | |
| SiT-XL/2# Params (G)=675M, Token Type=2D, Pretrained vision models=false, CFG=false2026.03 | 131.7 | — | — | — | 8.3 | |
| DiT-XL/2# Params (G)=675M, Token Type=2D, Pretrained vision models=false, CFG=false2026.03 | 121.5 | — | — | — | 9.62 | |
| LDM-4# Params (G)=400M, Token Type=2D, Pretrained vision models=false, CFG=false2026.03 | 103.5 | — | — | — | 10.56 | |
| VAR-d24 + MCLRNFE=102026.03 | 100.84 | 44.31 | 89.3 | 40.4 | — | |
| VAR-d24 + CFGNFE=202026.03 | 100.7 | 45.08 | 79.8 | 54.2 | — | |
| VAR-d24 + CC-DPONFE=102026.03 | 100.12 | 46.63 | 88.1 | 43.3 | — | |
| VAR-d24 + CCANFE=102026.03 | 98.92 | 46.82 | 87.3 | 44.8 | — | |
| VAR-d24NFE=102026.03 | 67.92 | 182.12 | 67.2 | 62.3 | — |