{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Computer Vision Decoded","title":"Will NeRFs Replace Photogrammetry?","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/3ac132a4\"></iframe>","width":"100%","height":180,"duration":3134,"description":"In this episode of Computer Vision Decoded, we are going to dive into one of the hottest topics in the industry: Neural Radiance Fields (NeRFs)\r\n\r\nWe are joined by Matt Tancik, a student pursuing a PhD in the computer science and electrical engineering department at UC Berkeley. He has also contributed research to the original NeRF project in 2020 along with several others since then.\r\n\r\nLast but not least, he is building NeRFStudio - a collaboration friendly studio for NeRFs.\r\n\r\nIn this episode you will learn about what NeRFs are and more importantly what they are not. Matt goes into the challenges of large scale NeRF creation with his experience with Block-NeRF.","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}