Grunnleggende konsepter
CRM is a high-fidelity feed-forward model that generates 3D textured meshes from single images in just 10 seconds, utilizing geometric priors and convolutional U-Net.
Sammendrag
Abstract: CRM introduces a Convolutional Reconstruction Model for fast and high-quality 3D textured mesh generation.
Introduction: Discusses challenges in 3D generation and the need for geometric priors.
Method: Details the design of the multi-view diffusion model and the Convolutional Reconstruction Model.
Experiments: Describes the dataset, network architecture, and training details, along with comparisons with baselines.
Conclusion: Highlights the effectiveness of CRM in generating detailed textured meshes from single images.
Statistikk
CRM는 이미지에서 3D 텍스처 메쉬를 10초 내에 생성합니다.
Sitater
"CRM builds on the key observation that the visualization of triplane exhibits spatial correspondence of six orthographic images."
"Our model can generate high-fidelity textured mesh within 10 seconds."