Dynamic Fluid Surface Reconstruction Using Deep Neural Network

Authors: Simron Thapa, Nianyi Li, Jinwei Ye Description: Recovering the dynamic fluid surface is a long-standing challenging problem in computer vision. Most existing image-based methods require multiple views or a dedicated imaging system. Here we present a learning-based single-image approach for 3D fluid surface reconstruction. Specifically, we design a deep neural network that estimates the depth and normal maps of a fluid surface by analyzing the refractive distortion of a reference background image. D