Santiago E. Montesdeoca

Appointment: PhD Student

Research topics:

• Watercolor rendered animation
• Developing real-time technology

For more information, visit http://artineering.io

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 4 of 4 Results

MNPR - User Study Jul 29, 2018 Montesdeoca, Santiago E, 2018, "MNPR - User Study", https://doi.org/10.21979/N9/YHN5MW, DR-NTU (Data), V1 This dataset contains the questionnaire and responses from a user study involving professional artists to evaluate the reception of the watercolor stylization, usefulness of a direct stylization pipeline and further artistic needs for a more successful stylization.
MNPR - Usability Study Jul 29, 2018 Montesdeoca, Santiago E, 2018, "MNPR - Usability Study", https://doi.org/10.21979/N9/XYZZVF, DR-NTU (Data), V1 This dataset contains the questionnaire and responses from the usability study, involving experienced artists and engineers, to evaluate the usefulness of each control and gather feedback to improve them.
MNPR Jun 11, 2018 Montesdeoca, Santiago E, 2018, "MNPR", https://doi.org/10.21979/N9/KU4B6S, DR-NTU (Data), V1 MNPR is an expressive non-photorealistic rendering framework for real-time, filter-based stylization pipelines within Maya. It extends the Maya API and simplifies the creation of Viewport 2.0 render overrides, while still preserving all the low-level options that the Maya API pro...
Substrate profiles for MNPR Jun 5, 2018 Montesdeoca, Santiago E; Chiew, Yee Xin; Semmo, Amir, 2018, "Substrate profiles for MNPR", https://doi.org/10.21979/N9/HI7GT7, DR-NTU (Data), V1 This data comprises the lossless and seamless profile data of 10 different substrates. In a nutshell: The substrates were scanned using a Canon LiDE 120 at 2400dpi in two directions. The raw scans were reduced, cropped and aligned using Adobe Photoshop The two scans were processe...

MNPR - User Study

Jul 29, 2018

Montesdeoca, Santiago E, 2018, "MNPR - User Study", https://doi.org/10.21979/N9/YHN5MW, DR-NTU (Data), V1

This dataset contains the questionnaire and responses from a user study involving professional artists to evaluate the reception of the watercolor stylization, usefulness of a direct stylization pipeline and further artistic needs for a more successful stylization.

MNPR - Usability Study

Jul 29, 2018

Montesdeoca, Santiago E, 2018, "MNPR - Usability Study", https://doi.org/10.21979/N9/XYZZVF, DR-NTU (Data), V1

This dataset contains the questionnaire and responses from the usability study, involving experienced artists and engineers, to evaluate the usefulness of each control and gather feedback to improve them.

MNPR

Jun 11, 2018

Montesdeoca, Santiago E, 2018, "MNPR", https://doi.org/10.21979/N9/KU4B6S, DR-NTU (Data), V1

MNPR is an expressive non-photorealistic rendering framework for real-time, filter-based stylization pipelines within Maya. It extends the Maya API and simplifies the creation of Viewport 2.0 render overrides, while still preserving all the low-level options that the Maya API pro...

Substrate profiles for MNPR

Jun 5, 2018

Montesdeoca, Santiago E; Chiew, Yee Xin; Semmo, Amir, 2018, "Substrate profiles for MNPR", https://doi.org/10.21979/N9/HI7GT7, DR-NTU (Data), V1

This data comprises the lossless and seamless profile data of 10 different substrates. In a nutshell: The substrates were scanned using a Canon LiDE 120 at 2400dpi in two directions. The raw scans were reduced, cropped and aligned using Adobe Photoshop The two scans were processe...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications