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Why am I seeing "splatting" more often recently thought it was old tech

by ge96 1y ago

deleted 1y ago
[deleted]
nomel 1y ago
Most tech is "old", with new use cases and accessibility. I think it's most interesting when it jumps into my pocket.
hirako2000 1y ago
If you call a few years, 'old'. Anyhow the novel approach opened the route for building on top. A paper recently proposed dynamic captures, for real time animated Gaussian Splats. It will go on there is so much to explore research-wise, optimisation like this innovation along is a large field of efforts.
littlestymaar 1y ago
I don't know what was the use of “splatting” before that, but the modern trend has started just two years ago with this paper: https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/ https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
- corysama 1y ago
  Various forms of point/blob rendering have been around for decades. What has been missing has been good workflows to create the content. That paper kicked off a rapid stream of a thousand papers by taking a photogrammetry-style workflow and producing better than photogrammetry results by reframing the process as gradient decent on differentiable point samples. This allowed the research to stand on the shoulders of all the work being put into deep learning tech.
  - IshKebab 1y ago
    This is like saying the car is nothing new because various forms of wheeled transport have been around for centuries. Typical HN.
    - corysama 1y ago
      I think you are reading this much more negatively than I wrote it. I’m very excited about the new research coming out every day on GS. https://x.com/janusch_patas https://x.com/janusch_patas publishes a steady stream of it every day on X and at https://radiancefields.com/ https://radiancefields.com/
boulos 1y ago
You're not wrong. The early 2000s splatting from point-based rendering is what George Drettakis and his students realized could be applied in this new NeRF domain. Basically, all the reasons that point splats didn't work for regular surface rendering nearly 25 years ago (holes, inefficient, can't edit them like meshes) are less of an issue in a light field capture setup.

Why am I seeing "splatting" more often recently thought it was old tech

by ge96 1y ago

Why am I seeing "splatting" more often recently thought it was old tech

deleted 1y ago

[deleted]

nomel 1y ago

Most tech is "old", with new use cases and accessibility. I think it's most interesting when it jumps into my pocket.

hirako2000 1y ago

If you call a few years, 'old'. Anyhow the novel approach opened the route for building on top. A paper recently proposed dynamic captures, for real time animated Gaussian Splats. It will go on there is so much to explore research-wise, optimisation like this innovation along is a large field of efforts.

littlestymaar 1y ago

I don't know what was the use of “splatting” before that, but the modern trend has started just two years ago with this paper: https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/ https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/

corysama 1y ago
Various forms of point/blob rendering have been around for decades. What has been missing has been good workflows to create the content. That paper kicked off a rapid stream of a thousand papers by taking a photogrammetry-style workflow and producing better than photogrammetry results by reframing the process as gradient decent on differentiable point samples. This allowed the research to stand on the shoulders of all the work being put into deep learning tech.
- IshKebab 1y ago
  This is like saying the car is nothing new because various forms of wheeled transport have been around for centuries. Typical HN.
  - corysama 1y ago
    I think you are reading this much more negatively than I wrote it. I’m very excited about the new research coming out every day on GS. https://x.com/janusch_patas https://x.com/janusch_patas publishes a steady stream of it every day on X and at https://radiancefields.com/ https://radiancefields.com/

boulos 1y ago

You're not wrong. The early 2000s splatting from point-based rendering is what George Drettakis and his students realized could be applied in this new NeRF domain. Basically, all the reasons that point splats didn't work for regular surface rendering nearly 25 years ago (holes, inefficient, can't edit them like meshes) are less of an issue in a light field capture setup.