📰 2026-04-25 14:00 更新
🔸 A 3D Body from Eight Questions – No Photo, No GPU / 来自八个问题的3D身体–没有照片，没有GPU
🔗 A 3D Body from Eight Questions – No Photo, No GPU
🔥 11 points
原文:
8 questions in, 58 Anny body params out. A small MLP trained with a physics-aware loss, runs in milliseconds on CPU. Height accuracy 0.3 cm, mass 0.3 kg, BWH 3-4 cm — better than our photo pipeline on circumferences, without needing a photo. That’s the questionnaire path I promised in the previous post.The whole story begins with one observation: that height and weight can estimate body measurements quite accurately (Bartol’s regression). The original idea isn’t as accurate as it claims, but …
译文:
8个问题， 58个Anny身体参数。经过物理感知损耗训练的小型MLP在CPU上以毫秒为单位运行。高度精度为0.3厘米，重量为0.3千克，宽度为3-4厘米—优于我们的周边照片管道，无需照片。这是我在上一篇文章中承诺的问卷路径。整个故事从一个观察开始：身高和体重可以非常准确地估计身体测量（ Bartol回归）。 总的想法并不像它所宣称的那样准确，但是……
自动更新 · 正文抓取 · 双语翻译