{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Computer Vision Decoded","title":"Understanding Implicit Neural Representations with Itzik Ben-Shabat","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/ee045682\"></iframe>","width":"100%","height":180,"duration":3322,"description":"In this episode of Computer Vision Decoded, we are going to dive into implicit neural representations.\nWe are joined by Itzik Ben-Shabat, a Visiting Research Fellow at the Australian National Universit (ANU) and Technion – Israel Institute of Technology as well as the host of the Talking Paper Podcast.\nYou will learn a core understanding of implicit neural representations, key concepts and terminology, how it's being used in applications today, and Itzik's research into improving output with limit input data.\nEpisode timeline:\n00:00 Intro\n01:23 Overview of what implicit neural representations are\n04:08 How INR compares and contrasts with a NeRF\n08:17 Why did Itzik pursued this line of research\n10:56 What is normalization and what are normals\n13:13 Past research people should read to learn about the basics of INR\n16:10 What is an implicit representation (without the neural network)\n24:27 What is DiGS and what problem with INR does it solve?\n35:54 What is OG-I NR and what problem with INR does it solve?\n40:43 What software can researchers use to understand INR?\n49:15 What information should non-scientists be focused to learn about INR?\nItzik's Website: https://www.itzikbs.com/\nFollow Itzik on Twitter: https://twitter.com/sitzikbs\nFollow Itzik on LinkedIn: https://www.linkedin.com/in/yizhak-itzik-ben-shabat-67b3b1b7/\nTalking Papers Podcast: https://talking.papers.podcast.itzikbs.com/\nFollow Jared Heinly on Twitter: https://twitter.com/JaredHeinly\nFollow Jonathan Stephens on Twitter at: https://twitter.com/jonstephens85\nReferenced past episode- What is CVPR: https://share.transistor.fm/s/15edb19d\nThis episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services: https://www.everypoint.io","thumbnail_url":"https://img.transistorcdn.com/svbWV6r49-pdpieSXBZA2AID_LcN1G2vaCDgYbQPMcg/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzMxOTQ2LzE2NTU4/MzEwMTItYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}