Cumuliform cloud formation control using parameter-predicting convolutional neural network
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Xiaohui Liang | Frederick W. B. Li | Hubert P. H. Shum | Jing Guo | Zili Zhang | Yunfei Li | Bailin Yang | Yue Ma | Xiaohui Liang | Bailin Yang | Zili Zhang | Yue Ma | Yunfei Li | Jing Guo
[1] Dinesh Manocha,et al. Efficient Optimal Control of Smoke using Spacetime Multigrid , 2016, ArXiv.
[2] Bo Ren,et al. Fluid directed rigid body control using deep reinforcement learning , 2018, ACM Trans. Graph..
[3] Ken Perlin,et al. Accelerating Eulerian Fluid Simulation With Convolutional Networks , 2016, ICML.
[4] Yizhou Yu,et al. Taming liquids for rapidly changing targets , 2005, SCA '05.
[5] Stefania Bonafoni,et al. Spatial and temporal trends of the surface and air heat island over Milan using MODIS data , 2014 .
[6] Robert Bridson,et al. Fluid Simulation for Computer Graphics , 2008 .
[7] Huamin Wang,et al. NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids , 2018, ArXiv.
[8] Chang-Hun Kim,et al. Controlling fluid animation with geometric potential , 2004, Comput. Animat. Virtual Worlds.
[9] Abel J. P. Gomes,et al. Real-time simulation of cumulus clouds through SkewT/LogP diagrams , 2017, Comput. Graph..
[10] Yoshinori Dobashi,et al. Simulation of Cumuliform Clouds Based on Computational Fluid Dynamics , 2002, Eurographics.
[11] Jürgen Schmidhuber,et al. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.
[12] Markus H. Gross,et al. Deep Fluids: A Generative Network for Parameterized Fluid Simulations , 2018, Comput. Graph. Forum.
[13] Roddam Narasimha,et al. Cumulus-Type Flows in the Laboratory and on the Computer: Simulating Cloud Form, Evolution, and Large-Scale Structure , 2014 .
[14] Meng Wang,et al. Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder , 2018, IEEE Transactions on Image Processing.
[15] Nils Thürey,et al. Data-driven synthesis of smoke flows with CNN-based feature descriptors , 2017, ACM Trans. Graph..
[16] Joel H. Saltz,et al. Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images , 2017, Pattern Recognit..
[17] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[18] Nils Thürey,et al. Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow , 2018, Comput. Graph. Forum.
[19] Z. Popovic,et al. Fluid control using the adjoint method , 2004, SIGGRAPH 2004.
[20] Greg Turk,et al. Controlling liquids using meshes , 2012, SCA '12.
[21] Anselmo Lastra,et al. Simulation of cloud dynamics on graphics hardware , 2003, HWWS '03.
[22] Adrien Treuille,et al. Keyframe control of smoke simulations , 2003, ACM Trans. Graph..
[23] Okke Batelaan,et al. Downscaling of thermal images over urban areas using the land surface temperature-impervious percentage relationship , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[24] Hui Wang,et al. A CNN‐based Flow Correction Method for Fast Preview , 2019, Comput. Graph. Forum.
[25] Qinping Zhao,et al. Modelling Cumulus Cloud Shape from a Single Image , 2014, Comput. Graph. Forum.
[26] Viorica Patraucean,et al. Spatio-temporal video autoencoder with differentiable memory , 2015, ArXiv.
[27] Nils Thuerey,et al. ScalarFlow , 2019, ACM Trans. Graph..
[28] D. Streutker,et al. Satellite-measured growth of the urban heat island of Houston, Texas , 2003 .
[29] Yoshinori Dobashi,et al. An inverse problem approach for automatically adjusting the parameters for rendering clouds using photographs , 2012, ACM Trans. Graph..
[30] Nils Thürey,et al. tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow , 2018, ACM Trans. Graph..
[31] Barbara Solenthaler,et al. Data-driven fluid simulations using regression forests , 2015, ACM Trans. Graph..
[32] T. Nishita,et al. Feedback control of cumuliform cloud formation based on computational fluid dynamics , 2008, SIGGRAPH 2008.
[33] Daniel G. Aliaga,et al. Fast weather simulation for inverse procedural design of 3D urban models , 2017, TOGS.
[34] Baskar Ganapathysubramanian,et al. A deep learning framework for causal shape transformation , 2018, Neural Networks.
[35] Yoshinori Dobashi,et al. Adaptive cloud simulation using position based fluids , 2015, Comput. Animat. Virtual Worlds.
[36] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[37] Mengjie Zhang,et al. Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation , 2016, ECCV.