MANTA -- Model Adapter Native generations that's Affordable
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917781947023360 |
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| author | Chaurasia, Ansh |
| author_facet | Chaurasia, Ansh |
| contents | The presiding model generation algorithms rely on simple, inflexible adapter selection to provide personalized results. We propose the model-adapter composition problem as a generalized problem to past work factoring in practical hardware and affordability constraints, and introduce MANTA as a new approach to the problem. Experiments on COCO 2014 validation show MANTA to be superior in image task diversity and quality at the cost of a modest drop in alignment. Our system achieves a $94\%$ win rate in task diversity and a $80\%$ task quality win rate versus the best known system, and demonstrates strong potential for direct use in synthetic data generation and the creative art domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_14363 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MANTA -- Model Adapter Native generations that's Affordable Chaurasia, Ansh Artificial Intelligence Image and Video Processing The presiding model generation algorithms rely on simple, inflexible adapter selection to provide personalized results. We propose the model-adapter composition problem as a generalized problem to past work factoring in practical hardware and affordability constraints, and introduce MANTA as a new approach to the problem. Experiments on COCO 2014 validation show MANTA to be superior in image task diversity and quality at the cost of a modest drop in alignment. Our system achieves a $94\%$ win rate in task diversity and a $80\%$ task quality win rate versus the best known system, and demonstrates strong potential for direct use in synthetic data generation and the creative art domains. |
| title | MANTA -- Model Adapter Native generations that's Affordable |
| topic | Artificial Intelligence Image and Video Processing |
| url | https://arxiv.org/abs/2409.14363 |