[PDF].pdf

2305.11588.pdf
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🔗 Source: arxiv.org
📊 Size: 57.4 MB
📄 Pages: 14 pages
⬇️ Downloads: 57

Summary

Text2NeRF is a text-driven 3D scene generation framework that combines Neural Radiance Fields (NeRF) and a pre-trained text-to-image diffusion model to generate diverse and view-consistent 3D scenes from natural language descriptions. It adopts NeRF as the 3D representation and leverages a pre-trained text-to-image diffusion model to constrain the 3D reconstruction, using content and geometric priors to update the NeRF model. The framework introduces a progressive scene inpainting and updating strategy for novel view synthesis, ensuring textured and geometric consistency between different views. Text2NeRF outperforms existing methods in producing photo-realistic, multi-view consistent, and diverse 3D scenes from various natural language prompts.

Description

Text2NeRF is a text-driven 3D scene generation framework that combines Neural Radiance Fields (NeRF) and a pre-trained text-to-image diffusion model to...

Technical Information

  • File Format: PDF
  • File Size: 57.4 MB
  • Pages: 14
  • Language: EN
  • Total Downloads: 57
  • Last Updated: 1 month ago

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