iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866916158869864448 |
|---|---|
| author | Vo, Dinh-Khoi Ly, Duy-Nam Le, Khanh-Duy Nguyen, Tam V. Tran, Minh-Triet Le, Trung-Nghia |
| author_facet | Vo, Dinh-Khoi Ly, Duy-Nam Le, Khanh-Duy Nguyen, Tam V. Tran, Minh-Triet Le, Trung-Nghia |
| contents | Creating thematic collections in industries demands innovative designs and cohesive concepts. Designers may face challenges in maintaining thematic consistency when drawing inspiration from existing objects, landscapes, or artifacts. While AI-powered graphic design tools offer help, they often fail to generate cohesive sets based on specific thematic concepts. In response, we introduce iCONTRA, an interactive CONcept TRAnsfer system. With a user-friendly interface, iCONTRA enables both experienced designers and novices to effortlessly explore creative design concepts and efficiently generate thematic collections. We also propose a zero-shot image editing algorithm, eliminating the need for fine-tuning models, which gradually integrates information from initial objects, ensuring consistency in the generation process without influencing the background. A pilot study suggests iCONTRA's potential to reduce designers' efforts. Experimental results demonstrate its effectiveness in producing consistent and high-quality object concept transfers. iCONTRA stands as a promising tool for innovation and creative exploration in thematic collection design. The source code will be available at: https://github.com/vdkhoi20/iCONTRA. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_08746 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer Vo, Dinh-Khoi Ly, Duy-Nam Le, Khanh-Duy Nguyen, Tam V. Tran, Minh-Triet Le, Trung-Nghia Computer Vision and Pattern Recognition Creating thematic collections in industries demands innovative designs and cohesive concepts. Designers may face challenges in maintaining thematic consistency when drawing inspiration from existing objects, landscapes, or artifacts. While AI-powered graphic design tools offer help, they often fail to generate cohesive sets based on specific thematic concepts. In response, we introduce iCONTRA, an interactive CONcept TRAnsfer system. With a user-friendly interface, iCONTRA enables both experienced designers and novices to effortlessly explore creative design concepts and efficiently generate thematic collections. We also propose a zero-shot image editing algorithm, eliminating the need for fine-tuning models, which gradually integrates information from initial objects, ensuring consistency in the generation process without influencing the background. A pilot study suggests iCONTRA's potential to reduce designers' efforts. Experimental results demonstrate its effectiveness in producing consistent and high-quality object concept transfers. iCONTRA stands as a promising tool for innovation and creative exploration in thematic collection design. The source code will be available at: https://github.com/vdkhoi20/iCONTRA. |
| title | iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2403.08746 |