Mark Meyer
Most Recent Affiliation(s):
- Pixar Animation Studios, Senior Scientist
Bio:
SIGGRAPH 2014
Mark Meyer is a Senior Scientist at Pixar Animation Studios. He received his BS in Computer Science and Computer Engineering from Northwestern University and his Ph.D. from Caltech. Before joining Pixar in 2003, Mark worked on virtual reality and simulation at Argonne National Laboratory and instructed Computer Graphics courses in the Computer Science department at Caltech. Mark is currently working in Pixar’s Research Group on projects ranging from character articulation to lighting acceleration.
Learning Presentation(s):
Type: [Technical Papers]
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples Presenter(s): [Zhu] [Xu] [Sun] [Kuznetsov] [Meyer] [Jensen] [Su] [Ramamoorthi]
[SIGGRAPH 2021]
Type: [Talks (Sketches)]
Towards Large-Scale Super Resolution Datasets via Learned Downsampling of Ray-Traced Renderings Presenter(s): [Vavilala] [Meyer]
Entry No.: [05]
[SIGGRAPH 2021]
Type: [Talks (Sketches)]
Deep Learned Super Resolution for Feature Film Production Presenter(s): [Vavilala] [Meyer]
Entry No.: [41]
[SIGGRAPH 2020]
Type: [Talks (Sketches)]
FaceBaker: Baking Character Facial Rigs with Machine Learning Presenter(s): [Radzihovsky] [Goes] [Meyer]
Entry No.: [58]
[SIGGRAPH 2020]
Type: [Technical Papers]
Denoising with kernel prediction and asymmetric loss functions Presenter(s): [Vogels] [Rousselle] [Mcwilliams] [Rothlin] [Harvill] [Adler] [Meyer] [Novák]
Entry No.: [124]
[SIGGRAPH 2018]
Type: [Technical Papers]
Integrating Clipped Spherical Harmonics Expansions Presenter(s): [Belcour] [Xie] [Hery] [Meyer] [Jarosz] [Nowrouzezahrai]
[SIGGRAPH 2018]
Type: [Technical Papers]
Kernel-predicting convolutional networks for denoising Monte Carlo renderings Presenter(s): [Bako] [Vogels] [Mcwilliams] [Meyer] [Novák] [Harvill] [Sen] [DeRose] [Rousselle]
[SIGGRAPH 2017]
Type: [Technical Papers]
Subdivision exterior calculus for geometry processing Presenter(s): [Goes] [Desbrun] [Meyer] [DeRose]
[SIGGRAPH 2016]
Type: [Technical Papers]
Subspace condensation: full space adaptivity for subspace deformations Presenter(s): [Teng] [Meyer] [DeRose] [Kim]
[SIGGRAPH 2015]
Type: [Courses]
Recent Advances in Light-Transport Simulation: Some Theory and a Lot of Practice Organizer(s): [Křivánek] [Keller]
Presenter(s): [Křivánek] [Keller] [Georgiev] [Kaplanyan] [Fajardo] [Meyer] [Nahmias] [Karlík] [Canada]
Entry No.: [17]
[SIGGRAPH 2014]
Type: [Technical Papers]
Subspace clothing simulation using adaptive bases Presenter(s): [Hahn] [Thomaszewski] [Coros] [Sumner] [Cole] [Meyer] [DeRose] [Gross]
[SIGGRAPH 2014]
Type: [Technical Papers]
A Theory of Monte Carlo Visibility Sampling Presenter(s): [Ramamoorthi] [Anderson] [Meyer] [Nowrouzezahrai]
[SIGGRAPH 2012]
Type: [Technical Papers]
Feature-adaptive GPU rendering of Catmull-Clark subdivision surfaces Presenter(s): [Nießner] [Loop] [Meyer] [DeRose]
[SIGGRAPH 2012]
Type: [Technical Papers]
Harmonic coordinates for character articulation Presenter(s): [Joshi] [Meyer] [DeRose] [Green] [Sanocki]
[SIGGRAPH 2007]
Type: [Technical Papers]
Key Point Subspace Acceleration and soft caching Presenter(s): [Meyer] [Anderson]
[SIGGRAPH 2007]
Type: [Technical Papers]
Statistical acceleration for animated global illumination Presenter(s): [Meyer] [Anderson]
[SIGGRAPH 2006]
Type: [Technical Papers]
Interactive geometry remeshing Presenter(s): [Alliez] [Meyer] [Desbrun]
[SIGGRAPH 2002]
Learning Moderator Presentation(s):
Type: [Technical Papers]
Bijective maps from simplicial foliations Presenter(s): [Campen] [Silva] [Zorin]
[SIGGRAPH 2016]
Type: [Technical Papers]
Entropic metric alignment for correspondence problems Presenter(s): [Solomon] [Peyré] [Kim] [Sra]
[SIGGRAPH 2016]
Type: [Technical Papers]
Globally optimal toon tracking Presenter(s): [Zhu] [Liu] [Wong] [Heng]
[SIGGRAPH 2016]
Role(s):
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