핵심 개념
Envision3D efficiently generates high-quality 3D content from single images using a cascade diffusion framework.
초록
Envision3D introduces a novel method for generating high-quality 3D content from a single image. The framework decomposes the task into two stages: anchor views generation and interpolation. By leveraging diffusion models, Envision3D produces dense, multi-view consistent images with comprehensive 3D information. A coarse-to-fine sampling strategy is employed for robust textured mesh extraction. Extensive experiments demonstrate superior performance over baseline methods in terms of texture and geometry.
통계
Envision3D generates 32 dense view images from one input image in 3-4 minutes.
The method surpasses previous image-to-3D baseline methods in generating high-quality 3D content.
인용구
"We propose a novel cascade diffusion framework, which decomposes the challenging dense views generation task into two tractable stages."
"Our method is capable of generating high-quality 3D content in terms of texture and geometry, surpassing previous image-to-3D baseline methods."