Texture: Text to 3D textures

🚀TEXTure: Text-Guided 3D Texturing
👉 Anonymous Authors unveil a new method for creating new textures using an iterative diffusion-based process
🔹Generate HQ Textures using prompts
🔹Leveraging pre trained depth-to-image diffusion
🔹Novel elaborated diffusion sampling process
🔹Edit Existing textures using prompts
Project Source Code:
→Project Page: lnkd.in/g4PfbAnM
→Paper: lnkd.in/gqbFd2qY
→Code: lnkd.in/gtngxXFr
→Hugging Face App: lnkd.in/gusabEuv
👉 React and follow for more unique posts on generative AI applications
Follow Berkeley Synthetic Page for more unique posts on generative AI applications: lnkd.in/gjKJPbxA
#generativeai #berkeleysynthetic #3d #3dmodeling #texture #py

[@shodanxx]

Why anonymous, is it real ?

[@d0msch]

i'd assume for blind submission to conferences or journals

[@berkeleysynthetic8542]

it is real, we have listed down the links in the description, do check them out

[@Stalkie]

You can also find the paper on arxiv with the same title which will tell you what the authors are ;)

[@RGBChannelReal]

Would be impressive if they didn't use the exact same frame for all three of the fish. If the product was something that actually generated a 3D structure that aligned with the image, it'd be cool. But this seems to be a way to import Dall-E or some other dime-a-dozen image generator onto premade models.
Hard pass. :(