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#CVPR2026 Can frontier LLMs write PhD-level 3D vision code? We introduce GeoCodeBench, a benchmark that asks models to read real 3D geometric vision papers and implement core functions. Best result so far: GPT-5 reaches only 36.6%. This suggests that scientific coding in 3D vision remains far from solved. Paper: Project:

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Hao Zhao

1,434 subscribers

18,336 просмотров • 5 месяцев назад •via X (Twitter)

#CVPR2026
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Комментарии: 4

Фото профиля Vlad Erium 🇯🇵
Vlad Erium 🇯🇵5 месяцев назад

GPT-5?

Фото профиля EB1A Experts
EB1A Experts5 месяцев назад

Great work!

Фото профиля Bang-Dang Pham ✈️ CVPR26
Bang-Dang Pham ✈️ CVPR265 месяцев назад

@CSProfKGD Could you share how can you create this slide :)))

Фото профиля Elodie 3DFontaine
Elodie 3DFontaine5 месяцев назад

Renderings are pretty, but let me see the geometric logic. I don't want to remix a shadow because an LLM can't handle feature topology.

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