Biological repetation
Biological repetation
Biological repetation
2023.3 - 2023.9
Role
Gameplay engineer, Game Designer
Gameplay engineer, Game Designer
Awards and honor
Linz Ars Electronica 2023 Finalist
Linz Ars Electronica 2023 Finalist
Introduction
Before AI painting, painting was considered a work containing the expression of the painter. However, with the emergence of AI painting technology, people's trust in painting and its expression behind it has significantly decreased, because seemingly expressive works can be easily created in a few seconds, and people cannot distinguish whether the creator of this painting is AI or an artist. This work aims to reveal the cheapness and untrustworthiness of expression in the AI painting era. This work is developed using Unity. In the process of experiencing this work, the audience needs to write down the text on the glass with their hands. Then, the audience can use the Ipad to scan the text on the glass and generate a seemingly expressive picture. The text written by the player will be recognized as text using Optical Character Recognition technology and then uploaded to the server for image generation using Stable Diffusion.
Before AI painting, painting was considered a work containing the expression of the painter. However, with the emergence of AI painting technology, people's trust in painting and its expression behind it has significantly decreased, because seemingly expressive works can be easily created in a few seconds, and people cannot distinguish whether the creator of this painting is AI or an artist. This work aims to reveal the cheapness and untrustworthiness of expression in the AI painting era. This work is developed using Unity. In the process of experiencing this work, the audience needs to write down the text on the glass with their hands. Then, the audience can use the Ipad to scan the text on the glass and generate a seemingly expressive picture. The text written by the player will be recognized as text using Optical Character Recognition technology and then uploaded to the server for image generation using Stable Diffusion.
Contribution
Concept Development: Created an interactive AR experience exploring the erosion of trust in artistic expression in the age of AI-generated art.
AR Implementation: Utilized Vuforia to enable precise tracking of real-world objects, allowing users to view virtual overlays through iPads in an immersive, context-aware environment.
Handwriting Recognition Integration: Implemented Baidu OCR within Unity (C#) to convert users’ handwritten input into machine-readable text.
AI-Generated Art Response: Connected HuggingFace models to Unity, enabling dynamic generation of AI-based artistic responses based on the recognized text.
Concept Development: Created an interactive AR experience exploring the erosion of trust in artistic expression in the age of AI-generated art.
AR Implementation: Utilized Vuforia to enable precise tracking of real-world objects, allowing users to view virtual overlays through iPads in an immersive, context-aware environment.
Handwriting Recognition Integration: Implemented Baidu OCR within Unity (C#) to convert users’ handwritten input into machine-readable text.
AI-Generated Art Response: Connected HuggingFace models to Unity, enabling dynamic generation of AI-based artistic responses based on the recognized text.
Concept Development: Created an interactive AR experience exploring the erosion of trust in artistic expression in the age of AI-generated art.
AR Implementation: Utilized Vuforia to enable precise tracking of real-world objects, allowing users to view virtual overlays through iPads in an immersive, context-aware environment.
Handwriting Recognition Integration: Implemented Baidu OCR within Unity (C#) to convert users’ handwritten input into machine-readable text.
AI-Generated Art Response: Connected HuggingFace models to Unity, enabling dynamic generation of AI-based artistic responses based on the recognized text.


