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NeRF Explosion 2020 - Frank Dellaert

dellaert.github.io · 3,457 words · saved by 1 readers

Besides the COVID-19 pandemic and political upheaval in the US, 2020 was also the year in which neural volume rendering exploded onto the scene, triggered by the impressive NeRF paper by Mildenhall et al. This blog post is my way of getting up to speed in a fascinating and very young field and share my journey with you; I created it for the express intent to teach this material in a grad computer vision course. To be clear, I have not contributed to any of the papers below. I wish I had, as I stand in awe of the explosion of creative energy around this topic! To start with some definitions, the larger field of Neural rendering is defined by the excellent review paper by Tewari et al. as “deep image or video generation approaches that enable explicit or implicit control of scene properties such as illumination, camera parameters, pose, geometry, appearance, and semantic structure.” It is a novel, data-driven solution to the long-standing problem in computer graphics of the realistic ren

The result that got me hooked on wanting to know everything about NeRF :-). Besides the COVID-19 pandemic and political upheaval in the US, 2020 was also the year in which neural volume rendering exploded onto the scene, triggered by the impressive NeRF paper by Mildenhall et al. This blog post is my way of getting up to speed in a fascinating and very young field and share my journey with you; I created it for the express intent to teach this material in a grad computer vision course. To be clear, I have not contributed to any of the papers below. I wish I had, as I stand in awe of the explos

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