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Books and Theses
- 2020
[b1]Mengyu Chu:
Detail Synthesis for Fluids and Videos with Deep-Learning Algorithms. Technical University of Munich, Germany, 2020
Journal Articles
- 2022
- [j7]Mengyu Chu
, Lingjie Liu, Quan Zheng, Erik Franz, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer:
Physics informed neural fields for smoke reconstruction with sparse data. ACM Trans. Graph. 41(4): 119:1-119:14 (2022) - 2021
- [j6]Mengyu Chu, Nils Thuerey, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer:
Learning meaningful controls for fluids. ACM Trans. Graph. 40(4): 100:1-100:13 (2021) - [j5]Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann:
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. IEEE Trans. Vis. Comput. Graph. 27(6): 3064-3078 (2021) - 2020
- [j4]Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey:
Learning temporal coherence via self-supervision for GAN-based video generation. ACM Trans. Graph. 39(4): 75 (2020) - 2019
- [j3]Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey:
A Multi-Pass GAN for Fluid Flow Super-Resolution. Proc. ACM Comput. Graph. Interact. Tech. 2(2): 10:1-10:21 (2019) - 2018
- [j2]You Xie, Erik Franz, Mengyu Chu, Nils Thuerey:
tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow. ACM Trans. Graph. 37(4): 95 (2018) - 2017
- [j1]Mengyu Chu, Nils Thuerey:
Data-driven synthesis of smoke flows with CNN-based feature descriptors. ACM Trans. Graph. 36(4): 69:1-69:14 (2017)
Conference and Workshop Papers
- 2024
- [c1]Yiming Wang, Siyu Tang, Mengyu Chu:
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction. SIGGRAPH (Conference Paper Track) 2024: 53
Editorship
- 2023
- [e1]Gurprit Singh, Mengyu Chu:
44th Annual Conference of the European Association for Computer Graphics, Eurographics 2023 - Posters, Saarbrücken, Germany, May 8-12, 2023. Eurographics Association 2023 [contents]
Informal and Other Publications
- 2024
- [i8]Jingrui Xing, Bin Wang, Mengyu Chu, Baoquan Chen:
A Grid-Free Fluid Solver based on Gaussian Spatial Representation. CoRR abs/2405.18133 (2024) - [i7]Yiming Wang, Siyu Tang, Mengyu Chu:
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction. CoRR abs/2407.09679 (2024) - 2022
- [i6]Mengyu Chu, Lingjie Liu, Quan Zheng, Erik Franz, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer:
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. CoRR abs/2206.06577 (2022) - 2019
- [i5]Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey:
A Multi-Pass GAN for Fluid Flow Super-Resolution. CoRR abs/1906.01689 (2019) - [i4]Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann:
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. CoRR abs/1906.06520 (2019) - 2018
- [i3]You Xie, Erik Franz, Mengyu Chu, Nils Thuerey:
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow. CoRR abs/1801.09710 (2018) - [i2]Mengyu Chu, You Xie, Laura Leal-Taixé, Nils Thuerey:
Temporally Coherent GANs for Video Super-Resolution (TecoGAN). CoRR abs/1811.09393 (2018) - 2017
- [i1]Mengyu Chu, Nils Thuerey:
Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors. CoRR abs/1705.01425 (2017)
Coauthor Index
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