Computer Vision Decoded

In this episode of Computer Vision Decoded, our hosts Jonathan Stephens and Jared Heinly are joined by Ruilong Li, a researcher at NVIDIA and key contributor to both Nerfstudio and gsplat, to dive deep into 3D Gaussian Splatting. They explore how this relatively new technology works, from the fundamentals of gaussian representations to the optimization process that creates photorealistic 3D scenes. Ruilong explains the technical details behind gaussian splatting, and discusses the development of the popular gsplat library. The conversation covers practical advice for capturing high-quality data, the iterative training process, and how Gaussian splatting compares to other 3D representations like meshes and NeRFs.

Links: 
  • gsplat: https://github.com/nerfstudio-project/gsplat
  • Nerfstudio: https://docs.nerf.studio/

Follow:
  • Ruilong on X: https://x.com/ruilong_li
  • Jared on X: https://x.com/JaredHeinly
  • Jonathan on X: https://x.com/jonstephens85

This 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. Learn more at https://www.everypoint.io

Creators and Guests

Host
Jared Heinly
Chief Scientist at @EveryPointIO | 3D computer vision researcher (PhD) and engineer
Host
Jonathan Stephens
Chief Evangelist at @EveryPointIO | Neural Radiance Fields (NeRF) | Industry 4.0
Guest
Ruilong Li

What is Computer Vision Decoded?

A tidal wave of computer vision innovation is quickly having an impact on everyone's lives, but not everyone has the time to sit down and read through a bunch of news articles and learn what it means for them. In Computer Vision Decoded, we sit down with Jared Heinly, the Chief Scientist at EveryPoint, to discuss topics in today’s quickly evolving world of computer vision and decode what they mean for you. If you want to be sure you understand everything happening in the world of computer vision, don't miss an episode!