Class-conditional image generation on truck concept benchmark leaderboard · SOTA2 Research

Class-conditional image generation on truck concept

18.5BRISQUEOSCAR

Evaluation Results

Method	Links
OSCAR2025.10		18.5	84.8	2.66	4.93	6.57	27.2	165.4	0.43
DPP2025.10		18.73	85.75	2.48	4.24	6.29	27.06	166.51	0.34
FM-SD3.52025.10		19.58	83.93	2.48	4.55	6.26	26.97	166.18	0.4
CADS2025.10		21.15	86.12	2.63	4.58	6.61	26.89	165.84	0.45
OSCAR2025.10		21.72	83.91	2.47	4.34	6.76	26.76	164.75	0.57
FM-SD3.52025.10		23.4	82.62	2.31	3.86	6.48	26.16	165.51	0.52
CADS2025.10		23.97	83.82	2.34	3.88	6.65	26.53	166.13	0.56
DPP2025.10		24.51	83.42	2.3	3.58	6.42	26.68	165.89	0.49
APG2025.10		24.89	85.16	2.61	4.76	6.49	27.3	166.62	0.42
OSCAR2025.10		27.8	83.22	2.34	4.08	6.79	26.56	165.31	0.65
APG2025.10		27.97	83.53	2.4	4.27	6.56	26.73	165.55	0.54
APG2025.10		30.09	82.93	2.31	4.05	6.62	26.67	165.77	0.62
CADS2025.10		32.73	82.71	2.25	3.71	6.69	26.55	167.34	0.64
FM-SD3.52025.10		33.11	80.46	2.23	3.76	6.52	26.02	166.08	0.6
DPP2025.10		33.88	81.9	2.17	3.15	6.44	26.46	166.21	0.55
PG2025.10		40.11	84.6	2.45	4.8	6.22	27.15	167.34	0.38
PG2025.10		40.34	83.76	2.3	4.22	6.43	26.57	166.5	0.54
PG2025.10		47.66	81.07	2.25	3.81	6.48	26.52	165.39	0.6