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Class-conditional Image Generation on ImageNet (val)

323.7ISRQ-Transformer
110.812166.081221.35276.619Sep 10, 2021Jun 22, 2022Apr 3, 2023Jan 13, 2024Oct 24, 2024Aug 5, 2025May 18, 2026

Evaluation results

MethodLinks
RQ-TransformerParams=3.8B, H×W×D=8×8×4, guidance_or_sampling=true2022.06323.73.8——8250——————
DDT#Epoch=800, #Para.=675M, #Tok.=256, CFG=True2026.05310.6———7965—————1.26
REPA-E#Epoch=800, #Para.=675M, #Tok.=256, CFG=True2026.05306.3———7964—————1.29
VFMVAE#Epoch=640, #Para.=685M, #Tok.=256, CFG=True2026.05300.2———78664.63————1.31
VA-VAE#Epoch=800, #Para.=675M, #Tok.=256, CFG=True2026.05295.3———7965—————1.35
ReDi#Epoch=800, #Para.=675M, #Tok.=256, CFG=True2026.05295.1———78644.66————1.61
VFMAE(DINOv2)#Epoch=800, #Para.=839M, #Tok.=256, CFG=True2026.05294———77695.84————1.25
AlignTok#Epoch=800, #Para.=675M, #Tok.=256, CFG=True2026.05293.6———7965—————1.37
REPA#Epoch=1600, #Para.=675M, #Tok.=256, CFG=True2026.05284———81614.5————1.8
VFMAE(SigLIP2)#Epoch=800, #Para.=839M, #Tok.=256, CFG=True2026.05280.9———76685.93————1.29
DiT#Epoch=1600, #Para.=675M, #Tok.=256, CFG=True2026.05278.2———83574.6————2.27
MaskDiT#Epoch=1600, #Para.=675M, #Tok.=256, CFG=True2026.05276.6———80615.67————2.28
OriginSampling/Steps=DDPM/250, FLOPs (T)=118.68, Latency (s)=2.512025.12275.642.23——83584.57—10——
Uniform 50% stepsSampling/Steps=DDPM/250, FLOPs (T)=59.34, Latency (s)=1.262025.12270.42.42——82575.048.550.140.78——
SiT-XL/2#Epoch=1600, #Para.=675M, #Tok.=256, CFG=True2026.05270.3———82594.5————2.06
FAE#Epoch=800, #Para.=675M, #Tok.=256, CFG=True2026.05268———8064—————1.29
FasterDIT#Epoch=400, #Para.=675M, #Tok.=256, CFG=True2026.05264———81604.63————2.03
DDT#Epoch=80, #Para.=675M, #Tok.=256, CFG=True2026.05263.7———7863—————1.52
RAE#Epoch=1400, #Para.=839M, #Tok.=256, CFG=True2026.05262.6———7867—————1.13
StyleGAN-XLParams=166M, guidance_or_sampling=true2022.06262.12.3——7853——————
VFMVAE#Epoch=64, #Para.=685M, #Tok.=256, CFG=True2026.05261.7———83585.23————2.03
AlignTok#Epoch=64, #Para.=675M, #Tok.=256, CFG=True2026.05260.9———8161—————1.9
RAE†#Epoch=1400, #Para.=839M, #Tok.=256, CFG=True2026.05254.6———77674.65————1.19
ToCa(N6) + CEMSampling/Steps=DDPM/250, FLOPs (T)=36.48, Latency (s)=0.822025.12248.583.09——8059622.630.760.16——
RAE†#Epoch=800, #Para.=839M, #Tok.=256, CFG=True2026.05248.5———76674.7————1.27
ToCa(N6)Sampling/Steps=DDPM/250, FLOPs (T)=36.3, Latency (s)=0.842025.12246.593.08——79596.5820.920.710.21——
OriginBit-width (W/A)=16/16, Size (MB)=1349, Latency (s)=0.622025.12245.855.31——816817.61—10——
FAE#Epoch=80, #Para.=675M, #Tok.=256, CFG=True2026.05243.8———8261—————1.7
RAE#Epoch=1400, #Para.=839M, #Tok.=256, CFG=False2026.05242.9———7963—————1.51
VFMVAE#Epoch=640, #Para.=685M, #Tok.=256, CFG=False2026.05241.6———81624.55————1.62
DDIM-50 stepsBackbone=DiT-XL/2, Latency(s)=0.851, Speed=1.00×, FLOPs(T)=22.88, Ratio=1.00×, Mem(GB)=3.1832026.02241.12.226————4.275—————
VFMAE(DINOv2)#Epoch=800, #Para.=839M, #Tok.=256, CFG=False2026.05240.9———76675.78————1.65
Q-DiT + CEMBit-width (W/A)=6/8, Size (MB)=518, Latency (s)=0.222025.12240.365.51——806817.4931.060.930.05——
OriginSampling/Steps=DDIM/50, FLOPs (T)=23.74, Latency (s)=0.532025.12239.932.25——80594.33—10——
FAE#Epoch=800, #Para.=675M, #Tok.=256, CFG=False2026.05239.8———8163—————1.48
Q-DiTBit-width (W/A)=6/8, Size (MB)=518, Latency (s)=0.452025.12237.345.44——806817.6131.10.950.04——
LazyDiTSampling/Steps=DDIM/50, FLOPs (T)=11.93, Latency (s)=0.282025.12237.032.7——80594.47—————
RAE†#Epoch=1400, #Para.=839M, #Tok.=256, CFG=False2026.05235.9———78645.15————1.53
VFMAE(SigLIP2)#Epoch=800, #Para.=839M, #Tok.=256, CFG=False2026.05235.4———76685.75————1.7
RAE†#Epoch=800, #Para.=839M, #Tok.=256, CFG=False2026.05232.3———78655.26————1.6
TaylorSeer(N6) + CEMSampling/Steps=DDIM/50, FLOPs (T)=4.76, Latency (s)=0.132025.12231.13.08——80576.4325.640.830.1——
DPCacheBackbone=DiT-XL/2, K=16, Latency(s)=0.344, Speed=2.47×, FLOPs(T)=7.326, Ratio=3.12×, Mem(GB)=3.1902026.02230.62.562————4.503—————
Contextual RQ-TransformerParams=1.4B, H×W×D=8×8×42022.06224.63.41——7954——————
SpeCaBackbone=DiT-XL/2, Variant=1, Latency(s)=0.384, Speed=2.22×, FLOPs(T)=4.285, Ratio=5.34×, Mem(GB)=3.2822026.02224.243.185————5.69—————
VFMAE(SigLIP2)#Epoch=80, #Para.=839M, #Tok.=256, CFG=True2026.05224.2———76675.65————1.4
TaylorSeer(N6)Sampling/Steps=DDIM/50, FLOPs (T)=4.76, Latency (s)=0.142025.12223.833.56——79567.5224.690.80.13——
Contextual RQ-TransformerParams=821M, H×W×D=8×8×42022.06221.93.45——8252——————
RAE†#Epoch=80, #Para.=839M, #Tok.=256, CFG=True2026.05221.7———80614.58————1.76
40% stepsBackbone=DiT-XL/2, Latency(s)=0.341, Speed=2.50×, FLOPs(T)=9.154, Ratio=2.50×, Mem(GB)=3.1832026.02221.453.504————4.918—————
VFMVAE#Epoch=80, #Para.=685M, #Tok.=256, CFG=False2026.05218.8———83585.03————2.22
DuCa(N5) + CEMSampling/Steps=DDIM/50, FLOPs (T)=6.73, Latency (s)=0.172025.12218.663.96——78555.87230.760.16——
VFMAE(DINOv2)#Epoch=80, #Para.=839M, #Tok.=256, CFG=True2026.05217.5———74686.1————1.68
DPCacheBackbone=DiT-XL/2, K=12, Latency(s)=0.282, Speed=3.02×, FLOPs(T)=5.495, Ratio=4.16×, Mem(GB)=3.1902026.02215.993.285————5.063—————
LlamaGen-L + Reward-based trainingBackbone=Large, CFG scale=1.5, Reward-based training=true2026.03215.93.83——7963————23.6—
VFMVAE#Epoch=64, #Para.=685M, #Tok.=256, CFG=False2026.05215.2——————————2.42
RAE#Epoch=80, #Para.=839M, #Tok.=256, CFG=True2026.05214.8———8259—————2.16
Uniform 33% stepsSampling/Steps=DDIM/50, FLOPs (T)=8.07, Latency (s)=0.182025.12214.354.24——77565.529.220.170.81——
Q-DiT + CEMBit-width (W/A)=4/8, Size (MB)=347, Latency (s)=0.22025.12213.56.2——766917.6224.990.820.14——
ToCa(N5) + CEMSampling/Steps=DDIM/50, FLOPs (T)=7.14, Latency (s)=0.182025.12212.134.68——77556.4121.590.720.2——
LDM-8-GParams=506M, H×W×D=32×32, guidance_or_sampling=true2022.06209.527.76——8435——————
Q-DiTBit-width (W/A)=4/8, Size (MB)=347, Latency (s)=0.392025.12209.36.31——766917.8124.880.820.14——
FAE#Epoch=80, #Para.=675M, #Tok.=256, CFG=False2026.05207.6———8259—————2.08
AlignTok#Epoch=800, #Para.=675M, #Tok.=256, CFG=False2026.05206.2———7667—————2.04
30% stepsBackbone=DiT-XL/2, Latency(s)=0.257, Speed=3.31×, FLOPs(T)=6.865, Ratio=3.33×, Mem(GB)=3.1832026.02205.655.138————6.12—————
VA-VAE#Epoch=800, #Para.=675M, #Tok.=256, CFG=False2026.05205.6———7765—————2.17
SpeCaBackbone=DiT-XL/2, Variant=2, Latency(s)=0.367, Speed=2.32×, FLOPs(T)=3.656, Ratio=6.26×, Mem(GB)=3.2822026.02203.174.705————7.835—————
RAE†#Epoch=80, #Para.=839M, #Tok.=256, CFG=False2026.05203———81605.26————2.28
BigGAN-deepParams=112M2022.06202.66.95——8723——————
TaylorSeerBackbone=DiT-XL/2, Variant=1, Latency(s)=0.444, Speed=1.92×, FLOPs(T)=3.256, Ratio=7.03×, Mem(GB)=3.2782026.02201.944.776————7.793—————
DuCa(N5)Sampling/Steps=DDIM/50, FLOPs (T)=6.32, Latency (s)=0.172025.12199.646.07——74526.6416.630.530.39——
ToCa(N5)Sampling/Steps=DDIM/50, FLOPs (T)=7.44, Latency (s)=0.22025.12199.486.37——74537.0916.560.530.4——
LlamaGen-LBackbone=Large, CFG scale=1.5, Reward-based training=false2026.03196.784.64——7863————23.5—
LlamaGen-XL + Reward-based trainingBackbone=Extra-Large, CFG scale=1.5, Reward-based training=true2026.03195.583.82——7767————23.7—
LlamaGen-XLBackbone=Extra-Large, CFG scale=1.5, Reward-based training=false2026.03187.753.96——7467————23.46—
ADM-GParams=608M, guidance_or_sampling=true2022.06186.74.59——8252——————
TaylorSeerBackbone=DiT-XL/2, Variant=2, Latency(s)=0.431, Speed=1.97×, FLOPs(T)=2.800, Ratio=8.17×, Mem(GB)=3.2782026.02186.556.163————9.503—————
MaskGITParams=227M, H×W×D=16×16×12022.06182.16.18——8051——————
MaskDiT#Epoch=1600, #Para.=675M, #Tok.=256, CFG=False2026.05177.9———746010.34————5.69
VFMAE(DINOv2)#Epoch=80, #Para.=839M, #Tok.=256, CFG=False2026.05176.5———75646.17————3.29
IC-GANResolution=256, Channel multiplier=96, Data Augmentation=(d)2021.09173.88.2——————————
Real data (validation)Type=Ground Truth2021.11173.33—70.82289.574————————
Contextual RQ-TransformerParams=371M, H×W×D=8×8×42022.06172.65.45——8149——————
VFMAE(SigLIP2)#Epoch=80, #Para.=839M, #Tok.=256, CFG=False2026.05172.1———75655.93————3.34
LlamaGen-B + Reward-based trainingBackbone=Base, CFG scale=1.5, Reward-based training=true2026.03163.376.31——8254————23.47—
REPA-E#Epoch=800, #Para.=675M, #Tok.=256, CFG=False2026.05158.3———7068—————5.78
DDT#Epoch=800, #Para.=675M, #Tok.=256, CFG=False2026.05154.7———6869—————6.27
IC-GANResolution=256, Channel multiplier=64, Data Augmentation=(d, i)2021.09152.67.5——————————
AlignTok#Epoch=64, #Para.=675M, #Tok.=256, CFG=False2026.05148.9———7762—————3.71
BigGANResolution=256, Channel multiplier=96, Original paper numbers=true2021.09144.28.1——————————
IC-GANResolution=256, Channel multiplier=642021.09143.78.3——————————
BigGANResolution=256, Channel multiplier=64, Trained using open source code=true2021.09139.18——————————
DDT#Epoch=80, #Para.=675M, #Tok.=256, CFG=False2026.05135.2———6967—————6.62
RQ-TransformerParams=3.8B, H×W×D=8×8×42022.061347.55——7358——————
SiT-XL/2#Epoch=1600, #Para.=675M, #Tok.=256, CFG=False2026.05131.7———68676.32————8.61
FasterDIT#Epoch=400, #Para.=675M, #Tok.=256, CFG=False2026.05131.3———67695.45————7.91
BigGANResolution=256, Channel multiplier=64, Data Augmentation=(d), Trained using open source code=true2021.091258.3——————————
REPA-E#Epoch=80, #Para.=675M, #Tok.=256, CFG=False2026.05122.6———7065—————7.9
DiT#Epoch=1600, #Para.=675M, #Tok.=256, CFG=False2026.05121.5———67676.85————9.62
LlamaGen-BBackbone=Base, CFG scale=1.5, Reward-based training=false2026.03119.527.06——7461————22.62—
RQ-TransformerParams=1.4B, H×W×D=8×8×42022.061198.71——7158——————