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Class-conditional Image Generation on ImageNet 512

2.35FIDEPG-L/32
1.527.122512.72518.3275Oct 26, 2023Feb 22, 2024Jun 21, 2024Oct 19, 2024Feb 16, 2025Jun 16, 2025Oct 14, 2025

Evaluation results

MethodLinks
EPG-L/32Model Type=Models in Pixel Space, NFE=75, Epochs=800, #Params=540M, GFLOPs=1132025.102.350.820.57——295.4
EPG-L/32Model Type=Models in Pixel Space, NFE=75, Epochs=600, #Params=540M, GFLOPs=1132025.102.430.820.57——289.7
MaskDiTModel Type=Models in Latent Space, NFE=79×2, Epochs=800, #Params=84M + 675M, GFLOPs=1260 + 524.62025.102.50.830.56——256.7
SiT-XL/2Model Type=Models in Latent Space, NFE=250×2, Epochs=600, #Params=84M + 675M, GFLOPs=1260 + 524.62025.102.620.840.57——252.2
VDM++Model Type=Models in Pixel Space, NFE=250×2, Epochs=800, #Params=2.46B2025.102.65————278.1
PixelNerdModel Type=Models in Pixel Space, NFE=100×2, Epochs=320, #Params=700M, GFLOPs=5832025.102.840.80.59——245.6
SiDModel Type=Models in Pixel Space, NFE=250×2, Epochs=800, #Params=2.46B2025.103.02————248.7
DiT-XL/2Model Type=Models in Latent Space, NFE=250×2, Epochs=600, #Params=84M + 675M, GFLOPs=1260 + 524.62025.103.040.840.54——240.8
ADMModel Type=Models in Pixel Space, NFE=500, Epochs=1081, #Params=731M, GFLOPs=28132025.103.850.840.53——221.7
RINModel Type=Models in Pixel Space, NFE=1000, Epochs=800, #Params=320M, GFLOPs=4152025.103.95————216
U-ViT-H/4Model Type=Models in Latent Space, NFE=50×2, Epochs=400, #Params=84M + 501M, GFLOPs=1260 + 133.02025.104.050.840.48——263.8
CADSSampler=CADS, Guidance Scale (wCFG)=52023.109.810.820.520.097.75—
DDPMSampler=DDPM, Guidance Scale (wCFG)=52023.1023.10.820.280.24.88—