PerBite workflow accurately estimates food volume using 3D mesh analysis

Researchers have developed a new workflow called PerBite for estimating food volume consumed during meals. This method uses a combination of segmentation, 3D mesh generation, and plate measurements to determine volume. PerBite achieved first place in a challenge with a low Chamfer distance and demonstrated a low MAPE for state-level volume, though consumed-volume MAPE remained higher. AI

IMPACT Introduces a novel workflow for precise food volume estimation, potentially aiding dietary tracking and health applications.

RANK_REASON This is a research paper detailing a new methodology for food volume estimation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• Blender
• Hunyuan3D
• MetaFood CVPR 2026 Continuous 3D Reconstruction While Eating Challenge
• MoGe-2
• PerBite
• SAM

• paper
• product

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