Controllable Neural Style Transfer for Dynamic Meshes

G Gomes Haetinger, J Tang, R Ortiz, P Kanyuk… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
In recent years, animation movies are shifting from realistic representations to more stylized
depictions that support unique design languages. To favor that, recent works implemented a …

Advances in 3D Neural Stylization: A Survey

Y Chen, G Shao, KC Shum, BS Hua… - arxiv preprint arxiv …, 2023 - arxiv.org
Modern artificial intelligence provides a novel way of producing digital art in styles. The
expressive power of neural networks enables the realm of visual style transfer methods …

Creating Elemental Characters: From Sparks to Fire

J Hoffman, T Hu, P Kanyuk, S Marshall… - ACM SIGGRAPH 2023 …, 2023 - dl.acm.org
Creating Elemental Characters: From Sparks to Fire Page 1 Creating Elemental Characters:
From Sparks to Fire Jonathan Hoffman jhoffman@pixar.com Pixar Animation Studios USA Te …

3DStyleGLIP: Part-Tailored Text-Guided 3D Neural Stylization

SJ Chung, JH Park, H Kan, HY Kang - arxiv preprint arxiv:2404.02634, 2024 - arxiv.org
3D stylization, which entails the application of specific styles to three-dimensional objects,
holds significant commercial potential as it enables the creation of diverse 3D objects with …

Fluid Control with Laplacian Eigenfunctions

Y Chen, D Levin, T Langlois - ACM SIGGRAPH 2024 Conference …, 2024 - dl.acm.org
Physics-based fluid control has long been a challenging problem in balancing efficiency and
accuracy. We introduce a novel physics-based fluid control pipeline using Laplacian …

Singed Silhouettes and Feed Forward Flames: Volumetric Neural Style Transfer for Expressive Fire Simulation

P Kanyuk, V Azevedo, R Ortiz, J Tang - ACM SIGGRAPH 2023 Talks, 2023 - dl.acm.org
While controlling simulated gaseous volumes remains an ongoing battle when seeking
realism in computer graphics, creating appealing characters entirely out of these simulations …

Fluids and Deep Learning: A Brief Review

G Antonio Giraldi, LR Almeida… - Deep Learning for Fluid …, 2023 - Springer
This chapter surveys deep learning models for fluid simulation and rendering. Regarding the
former, we can group the works into small and large-scale fluid simulation, the interaction of …

[BOOK][B] Deep Learning for Fluid Simulation and Animation: Fundamentals, Modeling, and Case Studies

GA Giraldi, LR de Almeida, AL Apolinário Jr… - 2023 - books.google.com
This book is an introduction to the use of machine learning and data-driven approaches in
fluid simulation and animation, as an alternative to traditional modeling techniques based on …

Fluid Rendering

G Antonio Giraldi, LR Almeida… - Deep Learning for Fluid …, 2023 - Springer
As shown in the previous chapters, fluid simulation deals with complex models and
algorithms to approximate the myriad of behaviors fluids may have. Those simulations …

[PDF][PDF] TSDN: Transport-based Stylization for Dynamic NeRF

Y Gong, M Song, X Ren, Y Liao, Y Zhang - 2024 - diglib7.eg.org
Abstract While previous Neural Radiance Fields (NeRF) stylization methods achieve visually
appealing results on transferring color style for static NeRF scenes, they lack the ability to …