FLIP: A Difference Evaluator for Alternating Images

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

Image quality measures are becoming increasingly important in the field of computer graphics. For example, there is currently a major focus on generating photorealistic images in real time by combining path tracing with denoising, for which such quality assessment is integral. We present FLIP, which is a difference evaluator with a particular focus on the differences between rendered images and corresponding ground truths. Our algorithm produces a map that approximates the difference perceived by humans when alternating between two images. FLIP is a combination of modified existing building blocks, and the net result is surprisingly powerful. We have compared our work against a wide range of existing image difference algorithms and we have visually inspected over a thousand image pairs that were either retrieved from image databases or generated in-house. We also present results of a user study which indicate that our method performs substantially better, on average, than the other algorithms. To facilitate the use of FLIP, we provide source code in C++, MATLAB, NumPy/SciPy, and PyTorch.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Nvidia Inc.
  • Rochester Institute of Technology
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Datavetenskap (datalogi)
Originalspråkengelska
Artikelnummer15
Antal sidor23
TidskriftProceedings of the ACM in Computer Graphics and Interactive Techniques
Volym3
Utgåva nummer2
StatusPublished - 2020 aug
PublikationskategoriForskning
Peer review utfördJa

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