Hidden-Shot: Towards One-Shot Task Generalization for Low-Level Vision Generalist Models
Despite the intense engagement surrounding low-level vision generalist models, their effectiveness in zero/few-shot scenarios beyond learned tasks remains unverified. The primary challenge of developing an ideal generalist lies in achieving the ability to generalize from new unseen tasks, which also can be assessed by matched quantitative criteria. Existing methods have made some progress in prompt engineering but have not systematically explored this gap across a wide range of low-level visual tasks. Stimulated by the problem, we propose Hidden-Shot, an implicit prompt mechanism aimed at exploring low-level task adaptation in a vision generalist model. Specifically, the method extracts i...
| Authors | Shao-Jun Xia, Xianzheng Ma, Zichong Meng |
|---|---|
| Primary category | cs.CV |
| Published | 1 July 2026 |
| Last updated at source | 2 September 2026 |
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