In this Podcast, Gini talks about her training and career, how she got her Dream Job at Pixar and the most important part of her job as an Animator - the STORY.įor more show notes, visit Eran Dinur is VFX Supervisor, Composer and published author. She was the Supervising Animator on the Pixar short film entitled Lifted. In 1996, she was hired by Pixar after submitting her short feature reel titled The Eclipse without submitting her resume. She earned a Master of Fine Arts degree in Computer Arts from the School of Visual Arts in New York. She studied Fine Arts at the University of Santo Tomas with a major in Advertising. She moved to Guam after age three but returned to study in the Philippines. Santos was born in Pasay City in the Philippines. Her animation of Dory, voiced by Ellen DeGeneres, was praised for integrating "fish movement, human movement and facial expressions to make them look and feel like real characters".
She was nominated in 2004 for an Annie Award for her animation on Finding Nemo and was nominated by the Visual Effects Society for an award for this project as well. She worked on numerous Pixar animation films including Toy Story 2, Monsters, Inc., Finding Nemo, A Bug's Life, The Incredibles, Ratatouille, Toy Story 3, Up, Lifted and Brave. The system implements multidimensional visual interactive tools to assist designers, planners, and decision-makers in exploring the layouts and the criteria, to develop their confidence in what qualifies as a good and effective solution.Gini Cruz Santos is a Filipina animator at Pixar studios based in the San Francisco Bay Area. An illustrative case-project demonstrates the suitability of the methodology for a complex layout planning problem, involving a large number of decision-makers, with multiple competing objectives and criteria. The present study has reused existing knowledge from two established ontologies. The separation between the knowledge in a domain and its possible practical uses is an important achievement of semantic technologies, because it grants access to a large body of knowledge, spanning various aspects and processes across buildings and cities, which is being codified into formal ontologies.
The paper proposes a methodology to separate the knowledge about objects, spatial relationships, and constraints from the generative process. Generative computation has the potential to enhance the accuracy, effectiveness, and creativity of spatial layout in design and planning.
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