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Excited to share 🎨🖌️ 3D Paintbrush - a method for generating local stylized textures on meshes using text as input! Our method predicts a localization map & a highly detailed texture map which conforms to it (1/3)

49,056 просмотров • 2 лет назад •via X (Twitter)

Комментарии: 9

Фото профиля Rana Hanocka
Rana Hanocka2 лет назад

3D Paintbrush produces textures that effectively adhere to the localizations. This enables seamlessly compositing local textures without any unwanted fringes! (2/3)

Фото профиля Rana Hanocka
Rana Hanocka2 лет назад

Key to our method is cascaded score distillation (CSD): which simultaneously distills scores at multiple resolutions. Standard SDS only uses the first low-res stage. Incorporating the super-res cascaded stage from our CSD increases the resolution and detail! (3/3)

Фото профиля Rana Hanocka
Rana Hanocka2 лет назад

3D Paintbrush was led by 3DL PhD student @DecaturDale 🚀. Other co-authors are: 3DL postdoc @ItaiLang and Snap Researcher @AbermanKfir (/4)

Фото профиля Keenan Crane
Keenan Crane2 лет назад

You’ve made Spot very happy. 🐮

Фото профиля Rana Hanocka
Rana Hanocka2 лет назад

Our whole lab is obsessed with spot! 🐄❤️ Thanks for making him! Bob also made an appearance in this paper 🐥🙂

Фото профиля Nitin Agarwal
Nitin Agarwal2 лет назад

Really nice work! I wonder how far we are from conditioned (text/image) geometric editing as well.

Фото профиля Nikhila Ravi
Nikhila Ravi2 лет назад

Wow!! So cool! 🤩

Фото профиля Daniel
Daniel2 лет назад

Awesome

Фото профиля Tariq Hussain
Tariq Hussain2 лет назад

wow amazing work

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