Summary
This news highlights a small, efficient MLP that accurately predicts 58 detailed body-shape parameters from just 8 basic questionnaire inputs like height, weight, and gender. The model achieves high accuracy, with mean absolute errors of around 0.3 cm for height and 0.4 kg for mass, and trains rapidly on a laptop. Its novelty lies in integrating a body-model forward pass directly into the training loss function.
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