AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes
AnyHome enables the generation of detailed 3D indoor scenes from open-vocabulary text inputs, offering realism and customizability.
Generating Highly Detailed and Consistent 3D Scenes from Text Descriptions using Gaussian Splatting and Large Language Models
DreamScape leverages the strengths of Gaussian Splatting and Large Language Models to generate high-fidelity 3D scenes from textual descriptions, achieving both instance-level realism and global consistency.
Text-Guided Multi-Object Compositional Neural Radiance Fields with Editable 3D Scene Layout
CompoNeRF is a novel framework that synthesizes coherent multi-object 3D scenes by integrating textual descriptions and editable 3D layouts. It addresses the "guidance collapse" issue in existing text-to-3D methods by compositing multiple object-specific NeRFs with dual-level text guidance.
SceneDreamer360: Generating 3D Panoramic Scenes from Text Using Diffusion Models and Gaussian Splatting
SceneDreamer360 is a novel method for generating high-quality, 3D panoramic scenes from text descriptions, leveraging the power of diffusion models for image generation and 3D Gaussian splatting for detailed scene reconstruction.
© 2024 by Linnk AI