Task-Utility IQA: Rethinking Image Quality Assessment in Embodied Tasks
Not provided in the abstract
Abstract
This paper proposes a shift in image quality assessment from task-agnostic scores to goal-conditioned judgments that enhance decision-making in embodied tasks.
Reality Card
The study demonstrates that a task-conditioned utility score is a better predictor of visual input effectiveness for downstream tasks compared to conventional metrics.
The proposed MLLM-based embodied IQA agent framework shows that task-conditioned utility scores outperform generic MLLM-based IQA scores in predicting task success.
The study's findings may be limited by the specific context of the VisDrone evidence study, which may not generalize to all embodied tasks.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.