MarrNet: 3D Shape Reconstruction via 2.5D Sketches

MarrNet: 3D Shape Reconstruction via 2.5D Sketches.  #deeplearning #nips #computervision

  • 3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes.
  • In this work, we propose an end-to-end trainable framework, sequentially estimating 2.5D sketches and 3D object shapes.
  • First, compared to full 3D shape, the 2.5D sketch is much easier to be recovered from the 2D image, and to transfer from synthetic to real images.
  • Second, for 3D reconstruction from the 2.5D sketches, we can easily transfer the learned model on synthetic data to real images, as rendered 2.5D sketches are invariant to object appearance variations in real images, including lighting, texture, etc.
  • Third, we derive differentiable projective functions from 3D shapes to 2.5D sketches, making the framework end-to-end trainable on real images, requiring no real-image annotations.

MarrNet
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Delivering Smarter Patient Care Decisions With Artificial Intelligence

Artificial Intelligence and the Future of Improved Patient Care #DigitalHealth

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  • We send more than 1 billion emails every day, and we help our customers comply with spam laws and best practices so they can get their campaigns into their subscribers’ inboxes.
  • MailChimp is an email-marketing service that serves more than 14 million companies of all shapes and sizes, from all over the world.
  • ______
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In this week’s episode of StartUp Health NOW!, Health Transformer and CEO of MDOps Avinash Kodey shares how he is applying AI technology to deliver smarter patient care decisions without compromising efficiency.
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Clever banking with artificial intelligence

#MachineLearning is hot - What is it & what are the opportunities for finserv?

#fintech #AI

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  • About / MCSV

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@sbmeunier: “#MachineLearning is hot – What is it & what are the opportunities for finserv?

#fintech #AI”



Clever banking with artificial intelligence