Sep 18, 2020 · We propose a novel learning approach to the dynamic upsampling of smoke flows based on a training set of flows at coarse and fine resolutions.

Oct 21, 2019 · In this paper, we propose a novel dictionary-based learning approach to the dynamic upsampling of smoke flows.

We propose a novel learning approach to the dynamic upsampling of smoke flows based on a training set of flows at coarse and fine resolutions. Our multiscale ...

We propose a novel learning approach to the dynamic upsampling of smoke flows based on a training set of flows at coarse and fine resolutions.Our multiscale ...

We propose a novel learning approach to the dynamic upsampling of smoke flows based on a training set of flows at coarse and fine resolutions. Our multiscale ...

We present a versatile method for dynamic upsampling of smoke flows which handles a variety of animation contexts: (a) generalized synthesis, where a few pairs ...

Jul 29, 2020 · We propose a novel dictionary-based machine learning approach for locally synthesizing high-frequency component for a flow upsampling ...

A novel learning approach to the dynamic upsampling of smoke flows based on a training set of flows at coarse and fine resolutions by turning an input ...

Our network-based approach can upsample smoke simulations (with ratio 64=4×4×4) with arbitrary inlet sizes in between those used in the training set.

In this paper, we propose a novel dictionary-based learning approach to the dynamic upsampling of smoke flows. For each frame of an input coarse animation, we ...