A Theory of the Distortion-Perception Tradeoff in Wasserstein Space

Dror Freirich, Tomer Michaeli, Ron Meir

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

The lower the distortion of an estimator, the more the distribution of its outputs generally deviates from the distribution of the signals it attempts to estimate. This phenomenon, known as the perception-distortion tradeoff, has captured significant attention in image restoration, where it implies that fidelity to ground truth images comes at the expense of perceptual quality (deviation from statistics of natural images). However, despite the increasing popularity of performing comparisons on the perception-distortion plane, there remains an important open question: what is the minimal distortion that can be achieved under a given perception constraint? In this paper, we derive a closed form expression for this distortion-perception (DP) function for the mean squared-error (MSE) distortion and the Wasserstein-2 perception index. We prove that the DP function is always quadratic, regardless of the underlying distribution. This stems from the fact that estimators on the DP curve form a geodesic in Wasserstein space. In the Gaussian setting, we further provide a closed form expression for such estimators. For general distributions, we show how these estimators can be constructed from the estimators at the two extremes of the tradeoff: The global MSE minimizer, and a minimizer of the MSE under a perfect perceptual quality constraint. The latter can be obtained as a stochastic transformation of the former.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفAdvances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021
المحررونMarc'Aurelio Ranzato, Alina Beygelzimer, Yann Dauphin, Percy S. Liang, Jenn Wortman Vaughan
الصفحات25661-25672
عدد الصفحات12
رقم المعيار الدولي للكتب (الإلكتروني)9781713845393
حالة النشرنُشِر - 2021
الحدث35th Conference on Neural Information Processing Systems, NeurIPS 2021 - Virtual, Online
المدة: ٦ ديسمبر ٢٠٢١١٤ ديسمبر ٢٠٢١

سلسلة المنشورات

الاسمAdvances in Neural Information Processing Systems
مستوى الصوت31

!!Conference

!!Conference35th Conference on Neural Information Processing Systems, NeurIPS 2021
المدينةVirtual, Online
المدة٦/١٢/٢١١٤/١٢/٢١

All Science Journal Classification (ASJC) codes

  • !!Computer Networks and Communications
  • !!Information Systems
  • !!Signal Processing

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