top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Get 3D object shape from one image in 45 seconds by 2D diffusion and neural surface with One-2-3-45

Get 3D object shape from one image in 45 seconds by 2D diffusion and neural surface with One-2-3-45


One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization

arXiv paper abstract https://arxiv.org/abs/2306.16928



Single image 3D reconstruction is an important but challenging task that requires extensive knowledge of ... natural world.


... propose a novel method that takes a single image of any object as input and generates a full 360-degree 3D textured mesh in a single feed-forward pass.


Given a single image ... first use a view-conditioned 2D diffusion model, Zero123, to generate multi-view images for the input view, and then aim to lift them up to 3D space.


... build ... 3D reconstruction module upon an SDF-based generalizable neural surface reconstruction method and propose several critical training strategies to enable the reconstruction of 360-degree meshes.


Without costly optimizations ... method reconstructs 3D shapes in significantly less time than existing methods.


... demonstrate its superiority in terms of both mesh quality and runtime ...



Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact

Web site with my other posts by category https://morrislee1234.wixsite.com/website



85 views0 comments

Comentarios


ClickBank paid link

bottom of page