April 16, 2024, 4:47 a.m. | Xuening Yuan, Hongyu Yang, Yueming Zhao, Di Huang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.09227v1 Announce Type: new
Abstract: Recent progress in text-to-3D creation has been propelled by integrating the potent prior of Diffusion Models from text-to-image generation into the 3D domain. Nevertheless, generating 3D scenes characterized by multiple instances and intricate arrangements remains challenging. In this study, we present DreamScape, a method for creating highly consistent 3D scenes solely from textual descriptions, leveraging the strong 3D representation capabilities of Gaussian Splatting and the complex arrangement abilities of large language models (LLMs). Our approach …

3d scenes abstract arxiv correlation cs.cv diffusion diffusion models domain image image generation instances modeling multiple prior progress study text text-to-image type via

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