Exploring Deep Parametric Shape Predictions Using Distance Fields

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  • Short summary of our CVPR 2022 work, "Representing 3D
  • Files are available as a Tier 2 reward on my Patreon: https://www.patreon.com/c/GhislainGir X: https://x.com/GhislainGir 0:00 Intro ...
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  • Papers We Love San Francisco 10/2018 --- Mini Ramon Nogueira on BlinkDB: Queries
  • Authors: Mark Nicholas Finean, Wolfgang Merkt and Ioannis Havoutis Institution: Oxford Robotics Institute, University of Oxford We ...

In-Depth Information on Deep Parametric Shape Predictions Using Distance Fields

Authors: Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon Description: Many tasks in graphics ... This is a recording from the Eurographics Symposium on Geometry Processing 2026 at the University of Bern, Switzerland. Over the past few months, I've been playing around Project page: https://joeaortiz.github.io/iSDF/ In RSS 2022 00:00 - Overview 00:29 - Signed

This video presents our research paper "Accelerating Signed

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