Fluid volume modeling from sparse multi-view images by appearance transfer

Abstract

We propose a method of three-dimensional (3D) modeling of volumetric fluid phenomena from sparse multi-view images (e.g., only a single-view input or a pair of front- and side-view inputs). The volume determined from such sparse inputs using previous methods appears blurry and unnatural with novel views; however, our method preserves the appearance of novel… (More)
DOI: 10.1145/2766958

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