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Variational Barycentric Coordinates - Ana Dodik

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Manage episode 389330392 series 3300270
Contenu fourni par Itzik Ben-Shabat. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Itzik Ben-Shabat ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this exciting episode of #TalkingPapersPodcast, we have the pleasure of hosting Ana Dodik, a second-year PhD student at MIT. We delve into her research paper titled "Variational Barycentric Coordinates." Published in SIGGRAPH Asia, 2023, this paper significantly contributes to our understanding of the optimization of generalized barycentric coordinates.
The paper introduces a robust variational technique that offers further control as opposed to existing models. Traditional practices are restrictive due to the representation of barycentric coordinates utilizing meshes or closed-form formulae. However, Dodik's research defies these limits by directly parameterizing the continuous function that maps any coordinate concerning a polytope's interior to its barycentric coordinates using a neural field. A profound theoretical characterization of barycentric coordinates is indeed the backbone of this innovation. This research demonstrates the versatility of the model by deploying variety of objective functions and also suggests a practical acceleration strategy.
My take on this is rather profound: this tool can be very useful for artists. It sparks a thrill of anticipation of their feedback on its performance. Melding classical geometry processing methods with newer, Neural-X methods, this research stands as a testament to the significant advances in today's technology landscape.
My talk with Ana was delightfully enriching. In a unique online setting, we discussed how the current times serve as the perfect opportunity to pursue a PhD. We owe that to improvements in technology.
Remember to hit the subscribe button and leave a comment about your thoughts on Ana's research. We'd love to hear your insights and engage in discussions to further this fascinating discourse in academia.
All links and resources are available in the blogpost: https://www.itzikbs.com/variational-barycentric-coordinates

🎧Subscribe on your favourite podcast app: https://talking.papers.podcast.itzikbs.com

📧Subscribe to our mailing list: http://eepurl.com/hRznqb

🐦Follow us on Twitter: https://twitter.com/talking_papers

🎥YouTube Channel: https://bit.ly/3eQOgwP

  continue reading

34 episodes

Artwork
iconPartager
 
Manage episode 389330392 series 3300270
Contenu fourni par Itzik Ben-Shabat. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Itzik Ben-Shabat ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this exciting episode of #TalkingPapersPodcast, we have the pleasure of hosting Ana Dodik, a second-year PhD student at MIT. We delve into her research paper titled "Variational Barycentric Coordinates." Published in SIGGRAPH Asia, 2023, this paper significantly contributes to our understanding of the optimization of generalized barycentric coordinates.
The paper introduces a robust variational technique that offers further control as opposed to existing models. Traditional practices are restrictive due to the representation of barycentric coordinates utilizing meshes or closed-form formulae. However, Dodik's research defies these limits by directly parameterizing the continuous function that maps any coordinate concerning a polytope's interior to its barycentric coordinates using a neural field. A profound theoretical characterization of barycentric coordinates is indeed the backbone of this innovation. This research demonstrates the versatility of the model by deploying variety of objective functions and also suggests a practical acceleration strategy.
My take on this is rather profound: this tool can be very useful for artists. It sparks a thrill of anticipation of their feedback on its performance. Melding classical geometry processing methods with newer, Neural-X methods, this research stands as a testament to the significant advances in today's technology landscape.
My talk with Ana was delightfully enriching. In a unique online setting, we discussed how the current times serve as the perfect opportunity to pursue a PhD. We owe that to improvements in technology.
Remember to hit the subscribe button and leave a comment about your thoughts on Ana's research. We'd love to hear your insights and engage in discussions to further this fascinating discourse in academia.
All links and resources are available in the blogpost: https://www.itzikbs.com/variational-barycentric-coordinates

🎧Subscribe on your favourite podcast app: https://talking.papers.podcast.itzikbs.com

📧Subscribe to our mailing list: http://eepurl.com/hRznqb

🐦Follow us on Twitter: https://twitter.com/talking_papers

🎥YouTube Channel: https://bit.ly/3eQOgwP

  continue reading

34 episodes

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