| Proj No. | A3024-251 |
| Title | Exploring Text-to-Image Generators for Enhancing Artistic Creativity for Cartoon Aesthetic |
| Summary | This project explores text-to-image AI models to boost creativity for amateur artists creating cartoon-style artwork. By utilizing advanced pre-trained AI models to convert text descriptions into visuals, the study investigates how these tools can enhance and iterate on cartoon characters, scenes, and styles. It also includes features like image-to-image generation and iterative improvements through additional inputs. A simple frontend will be developed to showcase these functionalities. The project assesses the quality of AI-generated images against traditional methods and explores implications for artist collaboration, creativity, and the evolution of cartoon art. |
| Supervisor | A/P Chen Lihui (Loc:S1 > S1 B1C > S1 B1C 96, Ext: +65 67904484) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | IEM Workshop (former Software Engineering) (Loc: S2.2-B4-04) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |