HackerTube

THE VIDEO SHELF · gaussian splatting

3D Gaussian Splatting! - Computerphile

A Computerphile video in which Dr Mike Pound and PhD student Lewis Stuart explain 3D Gaussian splatting, a quick technique that turns photos of a scene into a 3D model without much compute. It includes a demo and compares the approach to NeRFs.

Watch & explore the libraryYouTube ↗

Why HN readers recommended it

HN recommends it as an accessible introduction to Gaussian splats, made by people who understand the subject.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Computerphile
Topic
gaussian splatting
Format
explainer
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
3
Recommendation years in dataset
2024–2026

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Here's a much better explainer from some people who seem to actually understand the subject matter and not just the buzzwords (and yes, the end result is basically a highly-detailed point cloud): [VIDEO]

    ghostly_s on Hacker News · 2024-05
    In Show HN: Maps and Splats – Mashup of 3D tile maps with Gaussian Splats

  • Not a reading guide, but Computerphile have a good introductory video on Gaussian Splats: [VIDEO] Individualkex also has a couple videos on the high level ideas: [LINK]

    yokto on Hacker News · 2024-11
    In Show HN: SuperSplat – open-source 3D Gaussian Splat Editor

  • You're on HN, not reddit. OP linked to a special interest blog, not an explainer piece. The burden to catch up here is on the reader. The search input is right at the bottom: [LINK] but start here: TUM AI Lecture Series - The 3D …

    mxfh on Hacker News · 2026-01
    In Gaussian Splatting – A$AP Rocky Helicopter Music Video

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

Keep exploring