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Image Generation on MNIST (test)

1.46FIDLFR
-7.681654.0242115.73177.4358Dec 15, 2025Jan 8, 2026Feb 2, 2026Feb 27, 2026Mar 24, 2026Apr 18, 2026May 13, 2026

Evaluation results

MethodLinks
LFRNFE=12026.011.46—0.00082.085
CCVFM Stage IIINFE=51, L=502026.051.91———
LFRNFE=102026.012.18—0.00162.095
DFRNFE=102026.012.19—0.00152.123
CCVFM Stage IIINFE=21, L=202026.052.26———
DFRNFE=12026.012.42—0.00152.139
FMRefiner2026.012.87—0.00232.075
DiffuseVAE2026.013.92—0.00282.093
Base2026.013.95—0.00362.077
CCVFM Stage IIINFE=11, L=102026.054.05———
CCVFM Stage IIINFE=6, L=52026.0513.8———
ALIGN-FLAlgorithm=ALIGN-FL2025.1281.91———
ContrastSynthOnlyAlgorithm=ContrastSynthOnly2025.1289.64———
ContrastAvgSynthAlgorithm=ContrastAvgSynth2025.1299.68———
FedAvgAlgorithm=FedAvg2025.12148.7———
FedProxAlgorithm=FedProx2025.12150.14———
MOON-BaseAlgorithm=MOON-Base2025.12230———
ARMImages/sec=83.5772, Time Complexity=O(N^2d)2026.02—0.5685——
EmergingST (ms)=332.7 ±2.7, FT (ms)=121.0 ±1.5, param (M)=0.162025.12—630——
FIncFlowST (ms)=47.3 ±2.3, FT (ms)=95.1 ±2.5, param (M)=5.162025.12—411——
HoffmanModel Architecture=Fully connected deep neural networks2022.09—1.189——
Inverse-FlowST (ms)=12.2 ±1.1, FT (ms)=77.9 ±1.3, param (M)=0.62025.12—350——
KARMImages/sec=105.6037, Time Complexity=O(NWd)2026.02—0.5652——
LAEALD iterations (T)=2, sigma=0.05, Model Architecture=Fully connected deep neural networks2022.09—1.177——
LARMImages/sec=499.3672, Time Complexity=O(Nd^2)2026.02—0.5855——
SNFST (ms)=33.5 ±2.2, FT (ms)=212.5 ±7.3, param (M)=1.22025.12—557——
VAEModel Architecture=Fully connected deep neural networks2022.09—1.189——
VAE-flowModel Architecture=Fully connected deep neural networks2022.09—1.183——