Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Ronald Fedkiw"'
Publikováno v:
Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings.
We present a novel paradigm for modeling certain types of dynamic simulation in real-time with the aid of neural networks. In order to significantly reduce the requirements on data (especially time-dependent data), as well as decrease generalization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9348a4ff93b1ce188db178da64baaef
https://doi.org/10.1145/3528233.3530705
https://doi.org/10.1145/3528233.3530705
Publikováno v:
Computer Graphics Forum. 39:135-144
We propose a novel approach to learning cloth deformation as a function of body pose, recasting the graph-like triangle mesh data structure into image-based data in order to leverage popular and well-developed convolutional neural networks (CNNs) in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b4eed75cd19b1fe35121a63ef9f42e9
https://doi.org/10.1111/cgf.14108
https://doi.org/10.1111/cgf.14108
Autor:
Ronald Fedkiw, David A. B. Hyde
Publikováno v:
Journal of Computational Physics. 390:490-526
We present a novel numerical approach to monolithic two-way fluid-structure interaction. Our formulation applies to both sub-grid solids that may be significantly smaller than a single computational grid cell as well as more resolved solid bodies. Im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9130a9224f5267e890b94bcb7263ab95
https://doi.org/10.1016/j.jcp.2019.03.049
https://doi.org/10.1016/j.jcp.2019.03.049
Publikováno v:
Journal of Computational Physics. 380:442-463
We present a review on numerical methods for simulating multiphase and free surface flows. We focus in particular on numerical methods that seek to preserve the discontinuous nature of the solutions across the interface between phases. We provide a d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61661db0540259fb0c5f672c73f242e6
https://doi.org/10.1016/j.jcp.2018.05.031
https://doi.org/10.1016/j.jcp.2018.05.031
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:1449-1459
We propose a novel framework for hair animation as well as hair-water interaction that supports millions of hairs. First, we develop a hair animation framework that embeds hair into a tetrahedralized volume mesh that we kinematically skin to deform a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1c95dd3f422ebefb2f4347c96638fe
https://doi.org/10.1109/tvcg.2018.2808972
https://doi.org/10.1109/tvcg.2018.2808972
Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequency information present in the training data. Even though various appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbd3769f437f07caa6629f2b264c51e3
http://arxiv.org/abs/2001.07253
http://arxiv.org/abs/2001.07253
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 24:1717-1727
We present a novel method for posing and animating botanical tree models interactively in real time. Unlike other state of the art methods which tend to produce trees that are overly flexible, bending and deforming as if they were underwater plants,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee96d3935e6c98280e26fb81c69136f
https://doi.org/10.1109/tvcg.2017.2661308
https://doi.org/10.1109/tvcg.2017.2661308
Publikováno v:
Journal of Computational Physics. 353:82-109
We review some of the recent advances in level-set methods and their applications. In particular, we discuss how to impose boundary conditions at irregular domains and free boundaries, as well as the extension of level-set methods to adaptive Cartesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f23bca20d6cb0c69ac1536ee26c3f33
https://doi.org/10.1016/j.jcp.2017.10.006
https://doi.org/10.1016/j.jcp.2017.10.006
Publikováno v:
Journal of Computational Physics. 443:110498
Modern-day techniques for designing neural network architectures are highly reliant on trial and error, heuristics, and so-called best practices, without much rigorous justification. After choosing a network architecture, an energy function (or loss)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30edca5a92d1a6df73d3f84e941bfe0b
https://doi.org/10.1016/j.jcp.2021.110498
https://doi.org/10.1016/j.jcp.2021.110498
Autor:
Matthew Cong, Ronald Fedkiw
Publikováno v:
SIGGRAPH Talks
We present a physically based facial retargeting algorithm that is suitable for use in high-end production. Given an actor's facial performance, we first run a targeted muscle simulation on the actor in order to determine the actor blendshape muscles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c689e53505e0e61d8ff4ae6536e3113a
https://doi.org/10.1145/3306307.3328154
https://doi.org/10.1145/3306307.3328154