Perceptual Evaluation of Liquid Simulation Methods
Kiwon Um, Xiangyu Hu, Nils Thuerey

TL;DR
This paper introduces a new perceptual evaluation framework for liquid simulation methods using crowd-sourced user studies and reference videos to ensure consistent and reliable assessments of visual accuracy.
Contribution
It presents a novel evaluation approach leveraging reference videos and crowd-sourcing, enabling robust perceptual comparison of fluid simulation techniques.
Findings
Reference videos improve evaluation consistency
Crowd-sourced opinions effectively assess visual accuracy
The framework can evaluate various simulation methods
Abstract
This paper proposes a novel framework to evaluate fluid simulation methods based on crowd-sourced user studies in order to robustly gather large numbers of opinions. The key idea for a robust and reliable evaluation is to use a reference video from a carefully selected real-world setup in the user study. By conducting a series of controlled user studies and comparing their evaluation results, we observe various factors that affect the perceptual evaluation. Our data show that the availability of a reference video makes the evaluation consistent. We introduce this approach for computing scores of simulation methods as visual accuracy metric. As an application of the proposed framework, a variety of popular simulation methods are evaluated.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
