Personalization on Personalization Dataset benchmark leaderboard · SOTA2 Research

Personalization on Personalization Dataset

0.844CLIP-I ScoreDB + DeGu

Evaluation Results

Method	Links
DB + DeGu2026.07		0.844	0.7142	0.2852	0.5322	0.9085	0.8214
TI + DeGu2026.07		0.8315	0.6888	0.287	0.5236	0.9045	0.8086
DB + DeGu2026.07		0.8272	0.6938	0.2903	0.5254	0.9066	0.8241
NeTI + DeGu2026.07		0.8257	0.6885	0.2968	0.527	0.9073	0.8141
NeTI2026.07		0.8092	0.6407	0.2905	0.5077	0.8874	0.7638
P+ + DeGu2026.07		0.8091	0.6719	0.3066	0.5236	0.9037	0.8047
TI2026.07		0.8086	0.6256	0.2734	0.4953	0.8763	0.73
DeGu2026.07		0.8029	0.6432	0.3064	0.5147	0.8817	0.7529
DB2026.07		0.8025	0.6491	0.2996	0.5127	0.8862	0.7792
CoRe + DeGu2026.07		0.7987	0.6514	0.3007	0.5129	0.8974	0.7955
DeGu2026.07		0.7978	0.6649	0.3021	0.5167	0.9053	0.8065
DeGu2026.07		0.7965	0.6655	0.3034	0.5172	0.9	0.8019
DB2026.07		0.7864	0.625	0.3086	0.5072	0.8744	0.7501
P+2026.07		0.7828	0.6052	0.3077	0.5009	0.8809	0.74
DTI + DeGu2026.07		0.78	0.6205	0.3162	0.5082	0.8941	0.78
MS-Diffusion + DeGu2026.07		0.7689	0.6072	0.3212	0.5046	0.8885	0.775
MS-Diffusion2026.07		0.7655	0.5908	0.3206	0.4994	0.8749	0.7516
CoRe2026.07		0.7428	0.5309	0.2931	0.465	0.8508	0.6615
DTI2026.07		0.7333	0.4876	0.3105	0.4605	0.834	0.6212