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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)

Rana Hanocka

6,006 subscribers

48,987 次观看 • 2 年前 •via X (Twitter)

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Rana Hanocka 的头像

Rana Hanocka2 年前

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

Rana Hanocka 的头像

Rana Hanocka2 年前

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)

Rana Hanocka 的头像

Rana Hanocka2 年前

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

Keenan Crane 的头像

Keenan Crane2 年前

You’ve made Spot very happy. 🐮

Rana Hanocka 的头像

Rana Hanocka2 年前

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

Nitin Agarwal 的头像

Nitin Agarwal2 年前

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

Nikhila Ravi 的头像

Nikhila Ravi2 年前

Wow!! So cool! 🤩

Daniel 的头像

Daniel2 年前

Awesome

Tariq Hussain 的头像

Tariq Hussain2 年前

wow amazing work

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