Mengyu Chu

Orcid: 0000-0002-7358-433X

According to our database1, Mengyu Chu authored at least 24 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
JODA: Composable Joint Dynamics for Articulated Objects.
CoRR, May, 2026

LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction.
CoRR, May, 2026

LoBoFit: Flexible Garment Refitting via Local Bone Mapping Blending.
CoRR, May, 2026

FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting.
CoRR, May, 2026

Adaptive GPU Kinetic Solver for Fluid-Granular Flows.
CoRR, March, 2026

DDFKs: Fluid Simulation with Dynamic Divergence-Free Kernels.
CoRR, January, 2026

2025
FlowCapX: Physics-Grounded Flow Capture with Long-Term Consistency.
CoRR, October, 2025

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

FlowCapX: Physics-Grounded Flow Capture with Long-Term Consistency.
Comput. Graph. Forum, 2025

Gaussian Fluids: A Grid-Free Fluid Solver based on Gaussian Spatial Representation.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 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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