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

Getting 3D shapes from a single image

Getting 3D shapes from a single image


Shelf-Supervised Mesh Prediction in the Wild

arXiv paper abstract https://arxiv.org/abs/2102.06195





We aim to infer 3D shape and pose of object from a single image and propose a learning-based approach that can train from unstructured image collections, supervised by only segmentation outputs from off-the-shelf recognition systems (i.e. 'shelf-supervised').


We first infer a volumetric representation in a canonical frame, along with the camera pose.


... The coarse volumetric prediction is then converted to a mesh-based representation, which is further refined in the predicted camera frame.


... We examine the method on both synthetic and real-world datasets and demonstrate its scalability on 50 categories in the wild, an order of magnitude more classes than existing works.


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


81 views0 comments

Comments


ClickBank paid link

bottom of page