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Questionnaire - Page 3.jpg Jul 29, 2018 - MNPR - Usability Study JPEG Image - 486.7 KB - MD5: bc3a055a17469fff2026d4c412727e32
Questionnaire - Page 4.jpg Jul 29, 2018 - MNPR - Usability Study JPEG Image - 324.7 KB - MD5: e5f96c28f445aa0e012ea68ebbb0dc85
Questionnaire - Responses.xlsx Jul 29, 2018 - MNPR - Usability Study MS Excel Spreadsheet - 26.8 KB - MD5: 940a9a41f7a97c165b0c28f5c4a6d484
MNPR Jun 11, 2018 - Santiago E. Montesdeoca 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...
MNPR.zip Jun 11, 2018 - MNPR ZIP Archive - 3.9 MB - MD5: de41e26df2999d5378acd3dd0d967616 Source code of MNPR
Substrate profiles for MNPR Jun 5, 2018 - Santiago E. Montesdeoca 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...
raw_scans_2400dpi.zip Jun 5, 2018 - Substrate profiles for MNPR ZIP Archive - 5.4 GB - MD5: 6b01e7aace01da6ad12e1b4f24967f74 Raw scans of substrates (LiDE 120)
seamless_substrates_light.zip Jun 5, 2018 - Substrate profiles for MNPR ZIP Archive - 120.9 MB - MD5: 323b6e9dd5eee7f76f5fbbbba4b79545 Seamless extracted substrates (uvh) - JPG - R: u-inclination - G: v-inclination - B: heightmap
seamless_substrates.zip Jun 5, 2018 - Substrate profiles for MNPR ZIP Archive - 380.3 MB - MD5: 2b611691298b00cb3b8b7430a57f2661 Seamless extracted substrates (uvh) - PNG - R: u-inclination - G: v-inclination - B: heightmap
Santiago E. Montesdeoca(Nanyang Technological University) Jun 5, 2018 Appointment: PhD Student (Graduated) Research topics: • Watercolor rendered animation • Developing real-time technology For more information, visit http://artineering.io

Questionnaire - Page 3.jpg

Jul 29, 2018 - MNPR - Usability Study

JPEG Image - 486.7 KB -

Questionnaire - Page 4.jpg

Jul 29, 2018 - MNPR - Usability Study

JPEG Image - 324.7 KB -

Questionnaire - Responses.xlsx

Jul 29, 2018 - MNPR - Usability Study

MS Excel Spreadsheet - 26.8 KB -

MNPR

Jun 11, 2018 - Santiago E. Montesdeoca

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...

MNPR.zip

Jun 11, 2018 - MNPR

ZIP Archive - 3.9 MB -

Source code of MNPR

Substrate profiles for MNPR

Jun 5, 2018 - Santiago E. Montesdeoca

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...

raw_scans_2400dpi.zip

Jun 5, 2018 - Substrate profiles for MNPR

ZIP Archive - 5.4 GB -

Raw scans of substrates (LiDE 120)

seamless_substrates_light.zip

Jun 5, 2018 - Substrate profiles for MNPR

ZIP Archive - 120.9 MB -

Seamless extracted substrates (uvh) - JPG - R: u-inclination - G: v-inclination - B: heightmap

seamless_substrates.zip

Jun 5, 2018 - Substrate profiles for MNPR

ZIP Archive - 380.3 MB -

Seamless extracted substrates (uvh) - PNG - R: u-inclination - G: v-inclination - B: heightmap

Santiago E. Montesdeoca(Nanyang Technological University)

Jun 5, 2018

Appointment: PhD Student (Graduated) Research topics: • Watercolor rendered animation • Developing real-time technology For more information, visit http://artineering.io

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