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    AI-Driven Projection Mapping and Generative Design

    Hong Kong Institute of Information Technology (HKIIT)
    Hong Kong Institute of Information Technology (HKIIT)
    Latest Courses / Seminars
    Overview
    Programme Code
    IT5200168
    Subject Area
    Information Technology
    Programme Type
    Short Course
    Offering Institution
    Hong Kong Institute of Information Technology (HKIIT)
    Contact Hours
    30
    Programme Class
    Please contact 2835 7403 | Hong Kong Institute of Information Technology (HKIIT) for the details of class commencement date
    Programme Details
    1. Master Generative AI and Geometric Projection 
     
    Principles
     
    Understand the underlying logic of mainstream image AI (including prompt engineering and ControlNet spatial guides), along with basic projector optics, geometry, and surface alignment mechanisms.
     
    2. Establish a Spatial "Human-AI Collaboration" Mindset
     
    Train students to lead the creative process by using physical structures as the skeleton and AI as the visual fabric, solving the text-to-image limitation where AI cannot align with real-world edges.
     
    3. Precision AI Visual Control
     
    Apply wireframe constraints and lighting-specific prompts to guide AI in rendering accurate perspectives, shadow layouts, and seamless texture mapping.
     
    4. Workflow Optimization for Commercial Pitches
     
    Integrate the "AI + Projection" workflow into commercial projects to increase asset production and modification speeds by up to five times, significantly reducing traditional outsourcing overheads.

     

    Course Content

    Module 1: Setup & Foundations of AI Vision 

    Covers digital projector hardware basics, including lumens, resolution, throw ratios, and geometric distortion principles. Introduces Text-to-Image (T2I) core logic and prompt engineering tailored for projection mapping (e.g., glow, neon, particles, textures, and 3D illumination prompts).
     
    Module 2: Structural Extraction & Precision Control
     
    Focuses on using iPads/tablets to trace structural contours, perspective lines, and masks from physical mockups or walls. Provides an introduction to local/cloud AI ecosystems (WebUI, Invoke AI, Krita, ComfyUI, Amuse, and real-time iPad apps). Demonstrates how to utilize ControlNet to lock wireframes, ensuring AI strictly respects physical shapes during Image-to-Image (I2I) generation.
     
    Module 3: Regional Inpainting & Alignment Tools
     
    Explores AI inpainting techniques, using brush tools to edit specific projection regions for seamless object removal, texture replacement, or background extension. Introduces projection adjustment interfaces, including multi-point mesh warping and multi-layer masking, to adapt visuals to non-flat surfaces. Covers tools like MapMapper and TouchDesigner for angle replacement and lighting projection.
     
    Module 4: Commercial Application & Final Deployment
     
    Guides students in transforming raw wireframes into immersive, cinematic commercial storyboards and projection presets. Teaches the use of AI upscaling algorithms to elevate visual content to 4K/ultra-high-definition resolution for professional projection. Concludes with hands-on project deployment, including physical projection testing, alignment troubleshooting, and anti-distortion tuning.

     

    *Given the rapid pace of software and application updates, the course content may be subject to change to include different software without prior notice. 

     

    Tentative Schedule
     
    -

    Duration: 30 hrs. 

    Entry Requirements

    Suitable for applicants who are interested in this course

    Application Deadline: -
     
    Please press 'Apply Online' button above
     

    Notes

    ⦁    Applicants who fulfil the entry requirements will receive a payment notice later. Applications are not required to pay the tuition at this moment.

    ⦁    In general, course enrollment is made on a first-come-first-served basis.

    ⦁    Subject to the availability of the classes, applicants will be informed to change to another class if the applied class was full.

    ⦁    Any change in class selection will be put on the waiting list.

    SkillsUP Team
     
    Tel: 2835-7403
    Website: hkiit.edu.hk
    Office hours: Mon - Fri (09:00-12:00 & 14:00-17:00)

    Online Email Enquiry


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