PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion

arXiv:2312.09069v2 Announce Type: replace
Abstract: Diffusion models trained on large-scale text-image datasets have demonstrated a strong capability of controllable high-quality image generation from arbitrary text prompts. However, the generation quality and generalization ability of 3D diffusion models is hindered by the scarcity of high-quality and large-scale 3D datasets. In this paper, we present PI3D, a framework that fully leverages the pre-trained text-to-image diffusion models' ability to generate high-quality 3D shapes from text prompts in minutes. The core idea is to …

abstract arxiv capability cs.cv datasets diffusion diffusion models however image image datasets image diffusion image generation paper prompts quality scale text text-image type