Browsing by Subject "up"
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Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids
(ACM, 2021)We present a novel up-resing technique for generating high-resolution liquids based on scene flow estimation using deep neural networks. Our approach infers and synthesizes small- and large-scale details solely from a ... -
Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions
(The Eurographics Association and John Wiley & Sons Ltd., 2019)In this paper, we propose a two-stage top-down and bottom-up Generative Adversarial Networks (TBGANs) for shadow inpainting and removal which uses a novel top-down encoder and a bottom-up decoder with slice convolutions. ...