most citedJury Learning: Integrating Dissenting Voices into Machine Learning Models

130 citations · 183 across the 3 of their papers we have counts for

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cs.CV2019★ 4 cited

Approximating Human Judgment of Generated Image Quality

Y. Alex Kolchinski, Sharon Zhou, Shengjia Zhao +2

Generative models have made immense progress in recent years, particularly in their ability to generate high quality images. However, that quality has been difficult to evaluate ri…

cs.CV2019

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models

Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna +3

Generative models often use human evaluations to measure the perceived quality of their outputs. Automated metrics are noisy indirect proxies, because they rely on heuristics or pr…