Citation Guide

If you use plenoptic in a published piece of academic work, please cite [VSS2023] (and check this guide again before publishing, as we are planning on having a paper to cite instead of the current presentation).

Additionally, please additionally cite the following paper(s) depending on which component you use:

• plenoptic.synthesize.metamer.Metamer: or plenoptic.synthesize.metamer.MetamerCTF: [Portilla2000].

• plenoptic.synthesize.mad_competition.MADCompetition: [Wang2008].

• plenoptic.synthesize.eigendistortion.Eigendistortion: [Berardino2017].

• plenoptic.synthesize.geodesic.Geodesic: [Henaff2016].

• plenoptic.simulate.canonical_computations.steerable_pyramid_freq.SteerablePyramidFreq: [Simoncelli1995] ([Simoncelli1992] contains a longer discussion about the motivation and the logic, while [Simoncelli1995] describes the implementation that is used here).

• plenoptic.simulate.models.portilla_simoncelli.PortillaSimoncelli: [Portilla2000].

• plenoptic.simulate.models.frontend (any model): [Berardino2017].

• plenoptic.metric.perceptual_distance.ssim or plenoptic.metric.perceptual_distance.ssim_map: [Wang2004] if weighted=False, [Wang2008] if weighted=True.

• plenoptic.metric.perceptual_distance.ms_ssim: [Wang2003].

• plenoptic.metric.perceptual_distance.nlpd: [Laparra2017].

Note that, the citations given above define the application of the relevant idea (“metamers”) to computational models of the visual system that are instantiated in the algorithms found in plenoptic, but that, for the most part, these general concepts were not developed by the developers of plenoptic or the Simoncelli lab and are, in general, much older – the idea of metamers goes all the way back to [Helmholtz1852]! The papers above generally provide some discussion of this history and can point you to further reading, if you are interested.

[VSS2023]

Lyndon Duong, Kathryn Bonnen, William Broderick, Pierre-Étienne Fiquet, Nikhil Parthasarathy, Thomas Yerxa, Xinyuan Zhao, Eero Simoncelli; Plenoptic: A platform for synthesizing model-optimized visual stimuli. Journal of Vision 2023;23(9):5822. https://doi.org/10.1167/jov.23.9.5822.