Reproduce “ScoreDial: Precise Control of Visual Attributes in Image Generation via Regressor Guidance from Limited Human Ratings” on OpenResearch

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About this paper

Jianbo Tang, Keita Ishii, Hiroki Sakamoto, Manabu Kikuchi, Katsuma Kitamura, Chiho Semba, Kenta Nishiyama, Teppei Mori and 2 more

ScoreDial steers a pretrained image generator toward requested levels of human-rated attributes, using ratings from a few hundred images to train a score model. It combines requested-value conditioning with feedback that corrects score errors during sampling. Across four attributes, an independent auditor shows greater movement across requested values than competing methods; human evidence covers only tire and soap, and score agreement alone does not establish perceived change.

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