Image Synthesis on NANO-TEM synthetic samples n=6656

0.587MS-SSIM

MS-SSIM VAE

Updated 1mo ago

Evaluation Results

Method
MS-SSIM VAE 2026.06	0.587	0.407	18.45	0.014	0.409	-	-
VAE 2026.06	0.587	0.407	18.45	0.0143	0.409	-	-
MS-SSIM VAE 2026.06	0.579	0.397	18.63	0.015	0.417	170.96	0.147
VAE 2026.06	0.579	0.397	18.63	0.0151	0.417	-	-
DCGAN 2026.06	0.508	0.276	18.15	0.018	0.295	144.67	0.093
DCGAN 2026.06	0.508	0.276	18.15	0.0177	0.295	-	-
patch-based progressive training methodology for DDPMs 2026.06	0.481	0.27	16.99	0.022	0.277	47.32	0.034
Ours 2026.06	0.481	0.27	16.99	0.0218	0.277	-	-
DCGAN 2026.06	0.472	0.268	18.67	0.014	0.305	-	-
DCGAN 2026.06	0.472	0.268	18.67	0.0136	0.305	-	-
patch-based progressive training methodology for DDPMs 2026.06	0.414	0.211	16.89	0.021	0.266	-	-
Ours 2026.06	0.414	0.211	16.89	0.0205	0.266	-	-
Baseline DDPM 2026.06	0.412	0.199	16.34	0.025	0.229	68.52	0.067
Base 2026.06	0.412	0.199	16.34	0.0248	0.229	-	-
Baseline DDPM 2026.06	0.377	0.169	16.42	0.023	0.217	-	-
Base 2026.06	0.377	0.169	16.42	0.0228	0.217	-	-
Ours 2026.06	-	-	-	-	-	47.32	0.034
Base 2026.06	-	-	-	-	-	68.52	0.067
VAE 2026.06	-	-	-	-	-	170.96	0.147
DCGAN 2026.06	-	-	-	-	-	144.67	0.093