Text-to-3D Shape Generation

arXiv:2403.13289v1 Announce Type: new
Abstract: Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and image data enabling generative AI models, and differentiable rendering. Computational systems that can perform text-to-3D shape generation have captivated the popular imagination as they enable non-expert users to easily create 3D content directly from text. However, there are still many limitations and …

abstract advances ai models arxiv computational cs.cv data differentiable enabling generative generative ai models image image data pretraining progress rendering representation representation learning scale systems text type work