3D Gaussian Splatting! - Computerphile

The Nugget

Gaussian splatting is a technique that uses a series of RGB images to reconstruct a scene in 3D using a neural network, offering real-time rendering capabilities and flexibility in adjusting the scene.

Make it stick

💡 Gaussians are like cells: They move, change, duplicate, and fit the environment to create a photorealistic scene.
🖥️ Rasterization vs. ray marching: Gaussian splatting uses rasterization, making rendering quicker than the traditional ray tracing method.
🌲 Gaussian representation: Scenes are represented by numerous small gaussians, allowing for dynamic adjustments and real-time rendering.
🤖 Ease of manipulation: Gaussians can be easily manipulated in programs like Unity for quick adjustments and effects.

Gaussian splatting reconstructs 3D scenes using a series of RGB images and a neural network, allowing for real-time rendering and scene adjustments.
The technique involves representing scenes as a collection of small gaussians that can be manipulated and adjusted dynamically.

Gaussian splatting offers quicker rendering and easier adjustments compared to Nerf, which relies on neural networks and is slower to retrain for scene modifications.

By using standard rasterization techniques, gaussians can be quickly rendered based on their colors, opacities, and positions in the scene.

"These gaussians as I say they're like cells, they move, they change, they duplicate, they divide, they fit your environment so well that it becomes photo-realistic."
"These gans are physical things, it's not represented by a neural network. These gaussians are so much easier to work with than Nerf."
"Nerf I wanted to move, you can't do it, because you'd have to retrain your neural network. But with these gaussians, if I wanted to move the tree, drag and drop takes a second compared to the 30 minutes it takes to retrain everything."

This summary contains AI-generated information and may be misleading or incorrect.