3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Meta 3D Gen
Raphael Bensadoun, Tom Monnier, Yanir Kleiman +17
We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3…
cs.CV2024★ 3 cited
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects
Raphael Bensadoun, Yanir Kleiman, Idan Azuri +4
The recent availability and adaptability of text-to-image models has sparked a new era in many related domains that benefit from the learned text priors as well as high-quality and…