Towards Vision-Language-Garment Models for Web Knowledge Garment Understanding and Generation
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908428001083392 |
|---|---|
| author | Ackermann, Jan Nakayama, Kiyohiro Yang, Guandao Wu, Tong Wetzstein, Gordon |
| author_facet | Ackermann, Jan Nakayama, Kiyohiro Yang, Guandao Wu, Tong Wetzstein, Gordon |
| contents | Multimodal foundation models have demonstrated strong generalization, yet their ability to transfer knowledge to specialized domains such as garment generation remains underexplored. We introduce VLG, a vision-language-garment model that synthesizes garments from textual descriptions and visual imagery. Our experiments assess VLG's zero-shot generalization, investigating its ability to transfer web-scale reasoning to unseen garment styles and prompts. Preliminary results indicate promising transfer capabilities, highlighting the potential for multimodal foundation models to adapt effectively to specialized domains like fashion design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_05210 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Vision-Language-Garment Models for Web Knowledge Garment Understanding and Generation Ackermann, Jan Nakayama, Kiyohiro Yang, Guandao Wu, Tong Wetzstein, Gordon Computer Vision and Pattern Recognition Multimodal foundation models have demonstrated strong generalization, yet their ability to transfer knowledge to specialized domains such as garment generation remains underexplored. We introduce VLG, a vision-language-garment model that synthesizes garments from textual descriptions and visual imagery. Our experiments assess VLG's zero-shot generalization, investigating its ability to transfer web-scale reasoning to unseen garment styles and prompts. Preliminary results indicate promising transfer capabilities, highlighting the potential for multimodal foundation models to adapt effectively to specialized domains like fashion design. |
| title | Towards Vision-Language-Garment Models for Web Knowledge Garment Understanding and Generation |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2506.05210 |