Vinicius C. Azevedo

Orcid: 0009-0002-4133-4309

Affiliations:
  • Disney Research Studios, Switzerland


According to our database1, Vinicius C. Azevedo authored at least 22 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
The Impulse Particle-In-Cell Method.
Comput. Graph. Forum, May, 2024

Controllable Neural Style Transfer for Dynamic Meshes.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Physics-Informed Neural Corrector for Deformation-based Fluid Control.
Comput. Graph. Forum, May, 2023

Spatially Adaptive Cloth Regression with Implicit Neural Representations.
CoRR, 2023

Singed Silhouettes and Feed Forward Flames: Volumetric Neural Style Transfer for Expressive Fire Simulation.
Proceedings of the ACM SIGGRAPH 2023 Talks, 2023

2022
Curl-Flow: Boundary-Respecting Pointwise Incompressible Velocity Interpolation for Grid-Based Fluids.
ACM Trans. Graph., 2022

Efficient Neural Style Transfer for Volumetric Simulations.
ACM Trans. Graph., 2022

Neural Green's function for Laplacian systems.
Comput. Graph., 2022

2021
Curl-Flow: Pointwise Incompressible Velocity Interpolation forGrid-Based Fluids.
CoRR, 2021

Honey, I Shrunk the Domain: Frequency-aware Force Field Reduction for Efficient Fluids Optimization.
Comput. Graph. Forum, 2021

2020
Lagrangian neural style transfer for fluids.
ACM Trans. Graph., 2020

An extended cut-cell method for sub-grid liquids tracking with surface tension.
ACM Trans. Graph., 2020

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow.
Comput. Graph. Forum, 2020

Neural Smoke Stylization with Color Transfer.
Proceedings of the 41st Annual Conference of the European Association for Computer Graphics, 2020

Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks.
Proceedings of the 41st Annual Conference of the European Association for Computer Graphics, 2020

2019
Transport-based neural style transfer for smoke simulations.
ACM Trans. Graph., 2019

Deep Fluids: A Generative Network for Parameterized Fluid Simulations.
Comput. Graph. Forum, 2019

Divergence-free and boundary-respecting velocity interpolation using stream functions.
Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2019

2016
Preservando geometria e toplogia de escoamento de fluidos com a presença de geometria finas e aberturas estreitas.
PhD thesis, 2016

Preserving geometry and topology for fluid flows with thin obstacles and narrow gaps.
ACM Trans. Graph., 2016

2013
Efficient Smoke Simulation on Curvilinear Grids.
Comput. Graph. Forum, 2013


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