A Convenient Generalization of Schlick's Bias and Gain Functions
arXiv:2010.09714v11 citations
Originality Synthesis-oriented
AI Analysis
This work provides a convenient mathematical tool for graphics and simulation domains, but it is incremental as it builds directly on existing functions.
The authors tackled the problem of generalizing Schlick's bias and gain functions by presenting a single parametric function that includes both as special cases and describes other smooth, monotonic curves with variable asymmetry.
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.