

Luciddreamer
Overview :
LucidDreamer is a domain-free 3D scene generation technique that leverages the capabilities of existing large-scale diffusion generation models. It can generate navigable 3D scenes from a single text prompt or a single image. The method employs a dream-alignment two-step procedure, first generating multi-view consistent images based on the input, and then harmoniously integrating the newly generated 3D scene parts together. LucidDreamer generates highly detailed Gaussian splat maps, without the limitations of target scene domains compared to previous 3D scene generation methods.
Target Users :
Generates navigable 3D scenes for quantitative comparison of scene generation and reconstruction quality metrics.
Use Cases
Generate 3D scenes for VR experiences using LucidDreamer
Generate specific scenes for film effects using LucidDreamer
Design scenes for virtual reality games using LucidDreamer
Features
Generate navigable 3D scenes from single text prompts or images
Accept text prompt sequences for scene generation
Perform quantitative comparison based on CLIP-Score and CLIP-IQA
Provide reconstruction quality metrics
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