论文标题
捕获的RGB反照率的光谱生物物理皮肤特性的估计
Estimation of Spectral Biophysical Skin Properties from Captured RGB Albedo
论文作者
论文摘要
我们提出了一种从简单的RGB反照率捕获中重建和操纵人皮的光谱特性的新方法。为此，我们利用蒙特卡洛光模拟在准确的生物物理人体皮肤分层模型上通过其最重要的组件参数为参数，从而涵盖了合理的颜色范围。该模型的实际复杂性使我们能够学习从任何反照率到其最可能相关的皮肤特性的反映射。我们的技术可以忠实地复制任何皮肤类型，表现得足以自动处理更具挑战性的区域，例如嘴唇或脸部瑕疵。由于恢复了皮肤参数图的光滑度，可以通过有意义的生物物理特性来牢固地编辑反照率。
We present a new method to reconstruct and manipulate the spectral properties of human skin from simple RGB albedo captures. To this end, we leverage Monte Carlo light simulation over an accurate biophysical human skin layering model parameterized by its most important components, thereby covering a plausible range of colors. The practical complexity of the model allows us to learn the inverse mapping from any albedo to its most probable associated skin properties. Our technique can faithfully reproduce any skin type, being expressive enough to automatically handle more challenging areas like the lips or imperfections in the face. Thanks to the smoothness of the skin parameters maps recovered, the albedo can be robustly edited through meaningful biophysical properties.
