DietDelta uses vision-language prompts on paired before-and-after RGB images to localize food items, estimate their weights, and compute consumption differences, reporting better results than prior single-image methods on three public datasets.
Sin- gle image-based food volume estimation using monocular depth-prediction networks.International Conference on Human-Computer Interaction, pages 532–543
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DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images
DietDelta uses vision-language prompts on paired before-and-after RGB images to localize food items, estimate their weights, and compute consumption differences, reporting better results than prior single-image methods on three public datasets.