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Image Generation on ImageNet (val)

329.41Inception ScoreDense
228.7276254.8663281.005307.1437Dec 2, 2024Mar 3, 2025Jun 3, 2025Sep 2, 2025Dec 3, 2025Mar 4, 2026Jun 4, 2026

Evaluation results

MethodLinks
DensePruning Strategy=Dense, Sparsity (%)=0%, MACs=2.37, Latency (ms)=83.60, Speedup=1.00×, Sampling steps=20, Backbone=DiT-XL/22026.03329.41—4.49——8748——————
FP BaselineModel Architecture=RAR-XXL, Bit Width=FP2026.01328.87—1.515.13—81———————
PTQ4ARVGModel Architecture=RAR-XXL, Bit Width=W8A82026.01321.03—1.615.28—82———————
VARKDTeacher -> Student=XL -> L, Base Student Architecture=ARPG-L2026.06313—2.19——8157——————
ARPG-L + SeqKDStudent Architecture=ARPG-L, Distillation=SeqKD2026.06310.2—2.22——8058——————
SeqKDTeacher -> Student=XXL -> L, Base Student Architecture=ARPG-L2026.06310.2—2.22——8058——————
GKDTeacher -> Student=XL -> L, Base Student Architecture=ARPG-L2026.06310.1—2.26——8158——————
FP BaselineModel Architecture=VAR-d20, Bit Width=FP2026.01309.09—2.857.66—83———————
ARPG-LStudent Architecture=ARPG-L, Distillation=None2026.06309—2.3——8058——————
ARPG-L2026.06309—2.3——8058——————
ARPG-L + GKDStudent Architecture=ARPG-L, Distillation=GKD2026.06307.8—2.19——8159——————
GKDTeacher -> Student=XXL -> L, Base Student Architecture=ARPG-L2026.06307.8—2.19——8159——————
FP BaselineModel Architecture=VAR-d30, Bit Width=FP2026.01307.24—2.038.72—81———————
SeqKDTeacher -> Student=XL -> L, Base Student Architecture=ARPG-L2026.06305.2—2.28——8059——————
Full Precision BaselineBit Width=FP, Model Scale=MAR-H2026.01303.7—1.55——81———————
FP BaselineModel Architecture=RAR-L, Bit Width=FP2026.01303—1.766.03—81———————
ARPG-L + VARKDStudent Architecture=ARPG-L, Distillation=VARKD2026.06301.3—2.15——8059——————
VARKDTeacher -> Student=XXL -> L, Base Student Architecture=ARPG-L2026.06301.3—2.15——8059——————
KDTeacher -> Student=XL -> L, Base Student Architecture=ARPG-L2026.06296.1—2.2——8059——————
MAR LargeDepth=32, Params=479 M, Epochs=4002024.12296—1.78——————————
Full Precision BaselineBit Width=FP, Model Scale=MAR-L2026.01296—1.78——81———————
PTQ4ARVGBit Width=W8A8, Model Scale=MAR-H2026.01294.66—1.67——79———————
ARPG-L + KDStudent Architecture=ARPG-L, Distillation=KD2026.06293.1—2.21——8058——————
KDTeacher -> Student=XXL -> L, Base Student Architecture=ARPG-L2026.06293.1—2.21——8058——————
PTQ4ARVGModel Architecture=RAR-L, Bit Width=W8A82026.01291.55—1.96.34—81———————
OmniQuantModel Architecture=RAR-L, Bit Width=W8A82026.01289.61—2.166.66—79———————
OmniQuantModel Architecture=RAR-XXL, Bit Width=W8A82026.01288.1—2.356.43—77———————
MAR+CCFG=true, Generation Order=collapse order, Fine-tuning=false2025.11284.78—5.956—2.32182.656.6——————
SVDQuantModel Architecture=RAR-L, Bit Width=W8A82026.01284.59—1.956.38—80———————
PTQ4ARVGBit Width=W8A8, Model Scale=MAR-L2026.01284.02—1.92——80———————
TinyMAR-D16Depth=32->16, Params=277 M, Epochs=402024.12283.4—2.28——————————
MAR BaseDepth=24, Params=208 M, Epochs=4002024.12281.7—2.31——————————
Full Precision BaselineBit Width=FP, Model Scale=MAR-B2026.01281.7—2.31——82———————
MARCFG=true, Generation Order=random, Fine-tuning=false2025.11281.48—5.997—2.3382.257.1——————
CMARCFG=true, Generation Order=collapse order, Fine-tuning=true2025.11280.55—5.928—2.23881.857.6——————
PTQ4ARVGBit Width=W8A8, Model Scale=MAR-B2026.01279.97—2.36——82———————
SmoothQuantModel Architecture=RAR-XXL, Bit Width=W8A82026.01278.89—2.095.91—77———————
SiT-XL/2Depth=28, Params=675 M, Epochs=1,4002024.12277.5—2.06——————————
PTQ4ARVGModel Architecture=VAR-d30, Bit Width=W8A82026.01277.05—3.2714.4—81———————
SVDQuantModel Architecture=RAR-XXL, Bit Width=W8A82026.01276.52—2.145.46—75———————
DDPM/250Backbone=DiT-XL/2, Latency (s)=2.508, Speedup=1.00×2026.03275.65—2.234.57—8258——————
VA-VAEGenerative Model=Light DiT, Generative Paradigm=Non-autoregressive, Semantics Distillation=true, CFG Scale=Optimal2025.07275.1—2.86——————————
MAETokGenerative Model=Light DiT, Generative Paradigm=Non-autoregressive, Semantics Distillation=true, CFG Scale=Optimal2025.07273.3—3.92——————————
SODABackbone=DiT-XL/2, Sampling Mode=DDPM-based, Latency (s)=1.778, Speedup=1.41×2026.03272.01—2.214.72—8258——————
SODABackbone=DiT-XL/2, Sampling Mode=DDPM-based, Latency (s)=1.651, Speedup=1.52×2026.03271.77—2.234.76—8259——————
QuaRotModel Architecture=RAR-L, Bit Width=W8A82026.01271.37—2.357.42—79———————
∆-DiTBackbone=DiT-XL/2, Speedup=1.52×2026.03271.03—2.31——————————
OS+Model Architecture=VAR-d30, Bit Width=W8A82026.01269.86—3.315.89—81———————
OmniQuantModel Architecture=VAR-d30, Bit Width=W8A82026.01268.92—3.3515.34—81———————
Diff-ESPruning Strategy=OBS, Sparsity (%)=31.25%, MACs=1.66, Latency (ms)=69.42, Speedup=1.20×, Sampling steps=20, Backbone=DiT-XL/22026.03268.66—3.63——8152——————
SVDQuantModel Architecture=VAR-d30, Bit Width=W8A82026.01268.55—3.3414.87—80———————
l-DeTokGenerative Model=MAR, Generative Paradigm=Autoregressive, Semantics Distillation=false, CFG Scale=Optimal2025.07266.5—2.43——————————
PTQ4ARVGModel Architecture=RAR-XXL, Bit Width=W6A62026.01266.39—2.415.7—77———————
MAR-VAEGenerative Model=MAR, Generative Paradigm=Autoregressive, Semantics Distillation=false, CFG Scale=Optimal2025.07265.3—3.71——————————
PTQ4ARVGModel Architecture=VAR-d20, Bit Width=W8A82026.01263.86—3.3611.17—82———————
Full Precision BaselineBit Width=FP, Model Variant=PAR-3B-16x2026.01262.5—2.88——82———————
RepQ*Model Architecture=VAR-d30, Bit Width=W8A82026.01262.34—3.5116.05—79———————
PTQ4ARVGBit Width=W6A6, Model Scale=MAR-H2026.01261.35—2.62——75———————
OS+Model Architecture=VAR-d20, Bit Width=W8A82026.01260.96—3.411.25—81———————
QuaRotModel Architecture=VAR-d20, Bit Width=W8A82026.01260.52—4.0211.2—81———————
SmoothQuantModel Architecture=VAR-d20, Bit Width=W8A82026.01260.02—3.512.51—81———————
SD-VAEGenerative Model=MAR, Generative Paradigm=Autoregressive, Semantics Distillation=false, CFG Scale=Optimal2025.07259.8—4.64——————————
VAEtype=standard VAE2026.04259.168—————64.93.237—74.1———
RepQ*Model Architecture=VAR-d20, Bit Width=W8A82026.01258.9—3.4611.98—79———————
LlamaGen-L + SeqKDStudent Architecture=LlamaGen-L, Distillation=SeqKD2026.06258.1—3.1——8352——————
SeqKDTeacher -> Student=XL -> L, Base Student Architecture=LLamaGen-L2026.06258.1—3.1——8352——————
l-DeTokGenerative Model=RasterAR, Generative Paradigm=Autoregressive, Semantics Distillation=false, CFG Scale=Optimal2025.07257.7—4.46——————————
Full Precision BaselineBit Width=FP, Model Variant=PAR-3B-4x2026.01255.5—2.29——82———————
PTQ4ARVGBit Width=W6A6, Model Scale=MAR-L2026.01254.13—3.12——76———————
l-DeTok + DistillationGenerative Model=MAR, Generative Paradigm=Autoregressive, Semantics Distillation=true, CFG Scale=Optimal2025.07254.1—2.52——————————
Diff-ESPruning Strategy=Wanda, Sparsity (%)=12.50%, MACs=2.13, Latency (ms)=78.87, Speedup=1.06×, Sampling steps=20, Backbone=DiT-XL/22026.03253.79—5.28——7950——————
RepQ*Model Architecture=RAR-L, Bit Width=W8A82026.01253.16—2.557.34—76———————
OS+Model Architecture=RAR-L, Bit Width=W8A82026.01252.98—2.77.94—67———————
SVDQuantModel Architecture=VAR-d20, Bit Width=W8A82026.01252.17—3.811.87—81———————
MosaicDiffPruning Strategy=OBS, Sparsity (%)=31.46%, MACs=1.66, Latency (ms)=68.91, Speedup=1.22×, Sampling steps=20, Backbone=DiT-XL/22026.03251.23—4.01——7953——————
SD3-VAEGenerative Model=MAR, Generative Paradigm=Autoregressive, Semantics Distillation=false, CFG Scale=Optimal2025.07250—6.46——————————
PTQ4ARVGBit Width=W6A6, Model Scale=MAR-B2026.01249.14—2.99——78———————
l-DeTokGenerative Model=RandomAR, Generative Paradigm=Autoregressive, Semantics Distillation=false, CFG Scale=Optimal2025.07248.9—5.22——————————
OS+Bit Width=W8A8, Model Scale=MAR-H2026.01248.27—2.84——73———————
GKDTeacher -> Student=XXL -> L, Base Student Architecture=LLamaGen-L2026.06248.1—2.88——8255——————
LlamaGen-L + GKDStudent Architecture=LlamaGen-L, Distillation=GKD2026.06248—2.93——8255——————
GKDTeacher -> Student=XL -> L, Base Student Architecture=LLamaGen-L2026.06248—2.93——8255——————
SmoothQuantModel Architecture=VAR-d30, Bit Width=W8A82026.01247.74—4.3718.19—76———————
VARKDTeacher -> Student=XXL -> L, Base Student Architecture=LLamaGen-L2026.06246.7—2.91——8354——————
KDTeacher -> Student=XXL -> L, Base Student Architecture=LLamaGen-L2026.06246.6—3.01——8354——————
SmoothQuantModel Architecture=RAR-L, Bit Width=W8A82026.01245.99—2.737.29—76———————
OS+Model Architecture=RAR-XXL, Bit Width=W8A82026.01245.23—2.676.23—77———————
LlamaGen-L + KDStudent Architecture=LlamaGen-L, Distillation=KD2026.06244.5—3.02——8254——————
KDTeacher -> Student=XL -> L, Base Student Architecture=LLamaGen-L2026.06244.5—3.02——8254——————
MAETokGenerative Model=SiT, Generative Paradigm=Non-autoregressive, Semantics Distillation=true, CFG Scale=Optimal2025.07243.2—4.77——————————
l-DeTok + DistillationGenerative Model=Light DiT, Generative Paradigm=Non-autoregressive, Semantics Distillation=true, CFG Scale=Optimal2025.07243—2.18——————————
LlamaGen-L + VARKDStudent Architecture=LlamaGen-L, Distillation=VARKD2026.06242.7—2.83——8355——————
VARKDTeacher -> Student=XL -> L, Base Student Architecture=LLamaGen-L2026.06242.7—2.83——8355——————
RAE-ARBase Representation=SigLIP2, modification=+Norm+Noise2026.04241.768—————33.56.091—86.9———
OmniQuantModel Architecture=VAR-d20, Bit Width=W8A82026.01239.3—4.1411.73—77———————
SeqKDTeacher -> Student=XXL -> L, Base Student Architecture=LLamaGen-L2026.06238.6—3.15——8352——————
RepQ*Model Architecture=RAR-XXL, Bit Width=W8A82026.01233.35—3.256.45—77———————
SVDQuantBit Width=W8A8, Model Scale=MAR-H2026.01233.13—4.21——71———————
Diff-ESPruning Strategy=OBS, Sparsity (%)=43.75%, MACs=1.42, Latency (ms)=61.20, Speedup=1.37×, Sampling steps=20, Backbone=DiT-XL/22026.03232.73—4.25——7757——————
l-DeTok + DistillationGenerative Model=SiT, Generative Paradigm=Non-autoregressive, Semantics Distillation=true, CFG Scale=Optimal2025.07232.6—3.4——————————