John-Peter Lewis
Most Recent Affiliation(s):
- Google AI, Stanford University, Weta Digital, Computer Graphics Laboratory
Other / Past Affiliation(s):
- Graphics Primitive
- Weta Digital Ltd.
- Victoria University of Wellington
Website:
Bio:
SIGGRAPH 2019
JP Lewis is a staff research scientist at Google AI. In the past he has worked in academic and industrial research labs, as well as in the movie and games industries at Weta Digital, Industrial Light and Magic, ESC, Disney, and elsewhere. He has received credits on a few movies including the Planet of the Apes trilogy, Avatar, The Matrix Sequels, Furious7, and Forrest Gump. Several of his algorithms have been incorporated in commercial software including Maya and MATLAB.
Course Organizer:
Artwork(s):
Artwork Collaboration(s):
Experience(s):
![A Guided Synthesizer for Blendshape Characters](https://history.siggraph.org/wp-content/uploads/2022/07/2012-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Studio (SIGGRAPH Labs)]
A Guided Synthesizer for Blendshape Characters
Organizer(s): [Ma] [Lewis]
[SIGGRAPH 2012]
Learning Category: Presentation(s):
![Direct delta mush skinning and variants](https://history.siggraph.org/wp-content/uploads/2023/01/2019-Technical-Papers-Le_Direct-Delta-Mush-Skinning-and-Variants-150x150.jpg)
Type: [Technical Papers]
Direct delta mush skinning and variants Presenter(s): [Le] [Lewis]
[SIGGRAPH 2019]
![FACS at 40 Facial Action Coding System Panel](https://history.siggraph.org/wp-content/uploads/2022/03/2019-Panels-04-FACS-at-40-150x150.jpg)
Type: [Panels]
FACS at 40 Facial Action Coding System Panel Presenter(s): [Lewis] [Rosenberg] [Mastilovic] [Sagar]
Entry No.: [04]
[SIGGRAPH 2019]
![Facial retargeting with automatic range of motion alignment](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Blanco-I-Ribera_Facial-Retargeting-with-Automatic-Range-of-Motion-Alignment-150x150.jpg)
Type: [Technical Papers]
Facial retargeting with automatic range of motion alignment Presenter(s): [Ribera] [Zell] [Lewis] [Noh] [Botsch]
[SIGGRAPH 2017]
![SketchiMo: sketch-based motion editing for articulated characters](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Choi_SketchiMo-Sketch-based-Motion-Editing-for-Articulated-Characters-150x150.jpg)
Type: [Technical Papers]
SketchiMo: sketch-based motion editing for articulated characters Presenter(s): [Choi] [Ribera] [Lewis] [Seol] [Hong] [Eom] [Jung] [Noh]
[SIGGRAPH 2016]
![Scattered Data Interpolation for Computer Graphics](https://history.siggraph.org/wp-content/uploads/2022/01/2014-27-Scattered-Data-Interpolation-for-Computer-Graphics-150x150.jpg)
Type: [Courses]
Scattered Data Interpolation for Computer Graphics Organizer(s): [Anjyo]
Presenter(s): [Anjyo] [Lewis] [Pighin]
Entry No.: [27]
[SIGGRAPH 2014]
![Skinning: Real-Time Shape Deformation](https://history.siggraph.org/wp-content/uploads/2022/01/2014-24-Skinning-Real-Time-Shape-Deformation-150x150.jpg)
Type: [Courses]
Skinning: Real-Time Shape Deformation Organizer(s): [Jacobson]
Presenter(s): [Jacobson] [Deng] [Kavan] [Lewis]
Entry No.: [24]
[SIGGRAPH 2014]
![Spacetime Expression Cloning for Blendshapes](https://history.siggraph.org/wp-content/uploads/2023/03/2012-Technical-Papers-Seol_Spacetime-Expression-Cloning-for-Blendshapes-150x150.jpg)
Type: [Technical Papers]
Spacetime Expression Cloning for Blendshapes Presenter(s): [Seol] [Lewis] [Seo] [Choi] [Anjyo] [Noh]
[SIGGRAPH 2012]
![Practical Least-Squares for Computer Graphics](https://history.siggraph.org/wp-content/uploads/2021/06/2007-Course-Cover-11-Practical-Least-Squares-for-Computer-Graphics-150x150.jpg)
Type: [Courses]
Practical Least-Squares for Computer Graphics Organizer(s): [Pighin]
Presenter(s): [Lewis]
Entry No.: [11]
[SIGGRAPH 2007]
![Performance-Driven Facial Animation](https://history.siggraph.org/wp-content/uploads/2021/10/2006-Course-Cover-30-Performance-Driven-Facial-Animation-150x150.jpg)
Type: [Courses]
Performance-Driven Facial Animation Organizer(s): [Pighin]
Presenter(s): [Lewis] [Borshukov] [Bregler] [Havaldar] [Radford] [Sagar] [Tolles] [Zhang]
Entry No.: [30]
[SIGGRAPH 2006]
![Texture synthesis for digital painting](https://history.siggraph.org/wp-content/uploads/2022/09/1984-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Texture synthesis for digital painting Presenter(s): [Lewis]
[SIGGRAPH 1984]
Learning Category: Moderator:
![Deep convolutional priors for indoor scene synthesis](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Wang_Deep-Convolutional-Priors-for-Indoor-Scene-Synthesis-150x150.jpg)
Type: [Technical Papers]
Deep convolutional priors for indoor scene synthesis Presenter(s): [Wang] [Savva] [Chang] [Ritchie]
Entry No.: [70]
[SIGGRAPH 2018]
![Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks](https://history.siggraph.org/wp-content/uploads/2022/07/2018-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks Presenter(s): [Huang] [Kalogerakis] [Chaudhuri] [Ceylan] [Kim]
[SIGGRAPH 2018]
![Neural best-buddies: sparse cross-domain correspondence](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Aberman_Neural-Best-Buddies-Sparse-Cross-Domain-Correspondence-150x150.jpg)
Type: [Technical Papers]
Neural best-buddies: sparse cross-domain correspondence Presenter(s): [Aberman] [Liao] [Shi] [Lischinski] [Chen] [Cohen-Or]
Entry No.: [69]
[SIGGRAPH 2018]
![Point convolutional neural networks by extension operators](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Atzmon_Point-Convolutional-Neural-Networks-by-Extension-Operators-150x150.jpg)
Type: [Technical Papers]
Point convolutional neural networks by extension operators Presenter(s): [Maron] [Atzmon] [Lipman]
Entry No.: [71]
[SIGGRAPH 2018]
Role(s):
- Art Show Artist
- Course Organizer
- Course Presenter
- Studio (SIGGRAPH Lab) Presenter
- Talk (Sketch) Presenter
- Technical Paper Moderator
- Technical Paper Presenter