1 |
J. Tompson, K. Schlachter, P. Sprechmann, K. Perlin, "Accelerating eulerian fluid simulation with convolutional networks", International Conference on Machine Learning (ICML), pages 3424-3433, 2017.
|
2 |
Yifan Wang, Federico Perazzi, Brian McWilliams, Alexander Sorkine-Hornung, Olga Sorkine-Hornung, Christopher Schroers, "A Fully Progressive Approach to Single-Image Super-Resolution", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 864-873, 2018
|
3 |
Gregory M. Hunter, Kenneth Steiglitz, "Operations on Images Using Quad Trees", IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. PAMI-1, No. 2, 1979.
|
4 |
Syuhei Sato, Yoshinori Dobashi, Theodore Kim, Tomoyuki NishiTa, "Example-based Turbulence Style Transfer" ACM Transactions on Graphics (TOG), volume 37, issue 4, Article No. 84, 2018
|
5 |
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang, "Image Super-Resolution Using Deep Convolutional Networks", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 38, Issue 2, page 295-307, 2016
DOI
|
6 |
Xiangyun Xiao, Yanqing Zhou, Hui Wang, Xubo Yang "A Novel CNN-based Poisson Solver for Fluid Simulation" IEEE Transactions on Visualization and Computer Graphics (TVCG), page 1-1, 2018
|
7 |
Mengyu Chu and Nils Thuerey, "data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors", ACM Transactions on Graphics (TOG), Volume 36, issue 4, Article No. 69, 2017
|
8 |
You Xie, Erik Franz, Mengyu Chu, Nils Thuerey, "tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow", ACM Transactions on Graphics (TOG), Volume 37, issue 4, Article No. 95, 2018
|
9 |
Christian Ledig, Lucas Theis , Ferenc Huszar , Jose Caballero , Andrew Cunningham , Alejandro Acosta , Andrew Aitken , Alykhan Tejani , Johannes Totz , Zehan Wang , Wenzhe Shi, "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
|
10 |
Mengyu Chu, You Xie, Laura Leal-Taixe, Nils Thuerey, "Temporally Coherent GANs for Video Super-Resolution (TecoGAN)", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
|
11 |
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, Xin Tong, "O-CNN: octree-based convolutional neural networks for 3D shape analysis", ACM Transactions on Graphics (TOG), Volume 36, Issue 4, Article No. 72, 2017
|
12 |
D. Meagher, "Octree encoding: A new technique for the representation, manipulation and display of arbitrary 3d objects by computer", Technical Report IPL-TR-80-111, 1980.
|
13 |
Kun Zhou, Minmin Gong, Xin Huang, Baining Guo, "Data-Parallel Octrees for Surface Reconstruction", IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 17, Issue 5, page 669-681, 2011
DOI
|
14 |
Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger, "OctNet: Learning Deep 3D Representations at High Resolutions", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), arXiv:1611.05009v4, 2017
|
15 |
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox, "Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs", IEEE International Conference on Computer Vision (ICCV), pp. 2088-2096, 2017
|
16 |
J. Stam "Stable Fluids," ACM SIGGRAPH, Annual Conference Series. 121-128, 1999
|
17 |
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, "Deep Residual Learning for Image Recognition", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 770-778, 2016
|