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Lecturer(s)
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Holý Stanislav, MgA.
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Bartoš Jiří, MgA. Ph.D.
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Janda Jiří Philippe, Ing. arch.
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Course content
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1. Introduction and Inspiration (Course topic overview, examples of contemporary work with AI and simulations) 2. Recap of Fundamentals (Summary of Blender workflow, project organization, importing AI outputs) 3. Physics Simulation I (Rigid bodies and collisions, basics of object simulation) 4. Physics Simulation II (Cloth and soft body simulations, material behavior) 5. Particle Systems (Hair particles, emitted objects, particle control) 6. Geometry Nodes I (Basics of node-based modeling, instancing) 7. Geometry Nodes II (Advanced combinations, deformations, noise, effects) 8. Generative Models (Image-to-3D, mesh reconstruction) 9. AI Post-production (Output stylization, AI video editing, animation integration) 10. Project Proposal (Topic consultation, reference materials, technical setup) 11. Project Work I (Independent work + individual consultations) 12. Project Work II (Finalizing output, render tests, and presentation preparation) 13. Presentation and Reflection (Submission and presentation of the project, feedback and discussion)
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Learning activities and teaching methods
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unspecified, unspecified, unspecified
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Learning outcomes
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The course builds on the previous semester and expands students? knowledge in experimental, generative, and simulation-based work within Blender and related AI tools. Emphasis is placed on the realization of a complex project that integrates multiple layers of digital creation ? from 3D modeling and animation to AI-generated elements, composition, and post-production. Throughout the course, students will become familiar with techniques for generating 3D objects from text or image inputs, advanced tools for physical and particle simulations, as well as possibilities for AI-assisted post-production. The course also introduces creative ways of using data, algorithms, and parametric inputs as both inspiration and tools in the context of original artistic work. Course Objectives: To create an original project using a combination of Blender and generative tools. To understand the functioning of advanced simulation and automation techniques. To critically reflect on the role of algorithmic creation in contemporary art and design.
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Prerequisites
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Successful completion of the previous study
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Assessment methods and criteria
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unspecified
Active participation in classes and regular consultations. Ongoing work on a project using simulation or generative methods. Submission of a final output accompanied by brief documentation. Presentation and reflection on the project at the end of the semester.
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Recommended literature
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BLENDER FOUNDATION. Blender documentation [online]. 2024.
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COLTON, Simon; WIGGINS, Geraint A. Computational Creativity: The Final Frontier? Proceedings of the 20th European Conference on Artificial Intelligence [online]. 2012.
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MANOVICH, Lev. Artificial Aesthetics: Generative AI, Art and Visual Media [online]. 2024.
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OPENAI. GPT-4 Technical Report. 2023.
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REESE, Byron. Čtvrtý věk: inteligentní roboti, myslící počítače a budoucnost lidstva. Brno: Zoner Press, 2022. ISBN 978-80-7413-490-6.
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RUSSELL, Stuart J. Jako člověk: umělá inteligence a problém jejího ovládání. Praha: Dokořán, 2021. ISBN 978-80-7363-810-8.
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TEGMARK, Max. Život 3.0: člověk v éře umělé inteligence. Praha: Argo, 2020. ISBN 978-80-7363-948-8.
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