A Convenient Generalization of Schlick's Bias and Gain Functions
Jonathan T. Barron

TL;DR
This paper introduces a unified parametric function that generalizes Schlick's bias and gain functions, enabling flexible control over curve shape for inputs in [0, 1], with applications in graphics and data processing.
Contribution
A novel single parametric function that encompasses bias, gain, and other smooth monotonic curves, providing enhanced flexibility and simplicity.
Findings
The function includes bias and gain as special cases.
It can describe a variety of smooth, monotonic curves.
The approach simplifies curve adjustments in practical applications.
Abstract
We present a generalization of Schlick's bias and gain functions -- simple parametric curve-shaped functions for inputs in [0, 1]. Our single function includes both bias and gain as special cases, and is able to describe other smooth and monotonic curves with variable degrees of asymmetry.
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Computer Graphics and Visualization Techniques · Advanced Optimization Algorithms Research
