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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.10064 |
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| _version_ | 1866915182242955264 |
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| author | Santos, Rodrigo Branco, António Silva, João Rodrigues, João |
| author_facet | Santos, Rodrigo Branco, António Silva, João Rodrigues, João |
| contents | Instruction-guided image editing consists in taking an image and an instruction and deliverring that image altered according to that instruction. State-of-the-art approaches to this task suffer from the typical scaling up and domain adaptation hindrances related to supervision as they eventually resort to some kind of task-specific labelling, masking or training. We propose a novel approach that does without any such task-specific supervision and offers thus a better potential for improvement. Its assessment demonstrates that it is highly effective, achieving very competitive performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10064 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training Santos, Rodrigo Branco, António Silva, João Rodrigues, João Computation and Language Computer Vision and Pattern Recognition Instruction-guided image editing consists in taking an image and an instruction and deliverring that image altered according to that instruction. State-of-the-art approaches to this task suffer from the typical scaling up and domain adaptation hindrances related to supervision as they eventually resort to some kind of task-specific labelling, masking or training. We propose a novel approach that does without any such task-specific supervision and offers thus a better potential for improvement. Its assessment demonstrates that it is highly effective, achieving very competitive performance. |
| title | Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training |
| topic | Computation and Language Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2502.10064 |