Mengyu Chu

Orcid: 0000-0002-7358-433X

According to our database1, Mengyu Chu authored at least 15 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
VR-Doh: Hands-on 3D Modeling in Virtual Reality.
ACM Trans. Graph., August, 2025

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A Time-Dependent Inclusion-Based Method for Continuous Collision Detection between Parametric Surfaces.
ACM Trans. Graph., December, 2024

A Grid-Free Fluid Solver based on Gaussian Spatial Representation.
CoRR, 2024

Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

2022
Physics informed neural fields for smoke reconstruction with sparse data.
ACM Trans. Graph., 2022

2021
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution.
IEEE Trans. Vis. Comput. Graph., 2021

Learning meaningful controls for fluids.
ACM Trans. Graph., 2021

2020
Detail Synthesis for Fluids and Videos with Deep-Learning Algorithms.
PhD thesis, 2020

Learning temporal coherence via self-supervision for GAN-based video generation.
ACM Trans. Graph., 2020

2019
A Multi-Pass GAN for Fluid Flow Super-Resolution.
Proc. ACM Comput. Graph. Interact. Tech., 2019

2018
tempoGAN: a temporally coherent, volumetric GAN for super-resolution fluid flow.
ACM Trans. Graph., 2018

Temporally Coherent GANs for Video Super-Resolution (TecoGAN).
CoRR, 2018

2017
Data-driven synthesis of smoke flows with CNN-based feature descriptors.
ACM Trans. Graph., 2017


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