We find that Point♾ is capable of efficiently producing diverse and complex 3D shapes conditioned on text prompts.” OpenAI
“We have presented Point♾, a system for text-conditional synthesis of 3D point clouds that first generates synthetic views and then generates colored point clouds conditioned on these views. However, it is so quick that it can produce objects about 600 times faster than Dreamfusion. Many millions of 3D objects and their information were used in the company’s training program.Īccording to the findings of the OpenAI, there is room for error in this two-stage procedure. OpenAI used photos and 3D objects to teach their second model how to create point clouds from photographs.The former can make pictures from written descriptions, including programs like DALL-E or Stable Diffusion.
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