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Lecturer(s)
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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 Motivation** (Introduction to Blender software, AI tools, and current examples of creative work) 2. Navigation and Environment** (Blender interface, project organization, working with objects) 3. Basic Modeling (Edit Mode, transformations, extrusion, basic modifiers) 4. Materials and Shading (Principles of shading, Shader Editor, basic surfaces) 5. Camera and Lighting (Working with the camera, types of lights, shot composition) 6. Rendering (Eevee / Cycles, outputs, formats, render settings) 7. Introduction to AI Tools (Text-to-image, image-to-3D, selection of tools) 8. Connecting AI and 3D (Using AI outputs as inspiration, textures, shapes, references) 9. Scene Creation (More complex scene with camera and lighting, composition) 10. Project Proposal (Topic consultation, tool selection, workflow planning) 11. Project Work I (Independent work with consultation) 12. Project Work II (Finalization, export, output testing) 13. Presentation (Presentation and discussion of outputs, reflection on the process)
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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 focuses on an introduction to working with the open-source 3D software Blender, with an emphasis on advanced techniques in 3D modeling, shading, texturing, rendering, and basic simulations. The course also includes an introduction to the use of generative artificial intelligence tools that enable students to expand their creative possibilities in designing objects, environments, and visualizations. The course familiarizes students with the principles of AI-assisted design (e.g., text-to-image, image-to-3D, basic data inputs for creation) and emphasizes the combination of manual and automated creation as a new standard in artistic and design practice. Course objectives: Master advanced Blender tools in the context of students - own design processes. Understand the basic principles of using generative AI in visual creation. Experiment with and analyze different forms of creative collaboration with the machine.
Ability to work independently in the Blender environment. Ability to integrate generative tools into one?s own design process. Basic understanding of the current discourse surrounding AI and digital creation. Creation of an independent visual output with an original artistic contribution.
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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 consultations. Mastery of the basic principles of working in Blender. Submission of an independent project combining 3D creation and AI tools. Brief project documentation.
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Recommended literature
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BLENDER FOUNDATION. Blender documentation [online]. 2024.
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BROWNLEE, Jason. A Gentle Introduction to Generative Adversarial Networks (GANs) [online].
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GOODFELLOW, Ian; BENGIO, Yoshua a COURVILLE, Aaron. Deep learning. Adaptive computation and machine learning series. Cambridge, MA: MIT press, 2016. ISBN 978-0262035613.
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KOUKOLÍK, František. Nezapomenu!: navždy vděčná vaše inteligence umělá. Praha: Galén, 2024. ISBN 978-80-7492-705-8.
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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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TEGMARK, Max. Život 3.0: člověk v éře umělé inteligence. Praha: Argo, 2020. ISBN 978-80-7363-948-8.
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