A Pipeline to Sample and render Multi-Task 3D Vision Datasets

Home

Discover

Bookmarks

Keep Up With Latest Trending Papers. Computer Science, AI and Machine Learning and more.Subscribe

Artificial Intelligence

Robotics

A Pipeline to Sample and render Multi-Task 3D Vision Datasets

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans

This paper introduces a pipeline to parametrically sample and render multi-task vision datasets from comprehensive 3d scans from the real world.

Changing the sampling parameters allows one to"steer"the generated datasets to emphasize specific information.

In addition to enabling interesting lines of research, we show the tooling and generated data suffice to train robust vision models.common architectures trained on a generated starter dataset reached state-of-the-art performance on multiple common vision tasks and benchmarks, despite having seen no benchmark or non-pipeline data.

Authors

Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, Amir Zamir

◐ Recommended Follows

◐ Latest Activity