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NVlabs
instant-ngp
Cuda2022–2026
NVlabs / instant-ngp

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

10Distinct people
13Mentions
1Explicit recommenders
17.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Instant neural graphics primitives: lightning fast NeRF and more

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

Still, NVIDIA's achievement (and Thomas Müller in particular) is amazing. Thomas and his collaborators achieved an almost 1000x performance improvement, by a combination of…

krasin used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year13 dated mentions

Observed mentions: 2022-01-14 23:47:18 UTC to 2026-01-09 22:31:17 UTC.

02468102022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 9 mentions; 3 submissions, 6 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20242025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC936
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

13 sources
That's a pretty well-solved problem at this point, if you want to do it yourself. You'll want some kind of NeRF tool and a way to calculate the camera poses of the photos you took. COLMAP is the tool most people use for the latter. I'd recommend trying Instant Neural Graphics Primitives (https://github.com/NVlabs/instant-ngp) from NVIDIA. It's a couple years old, so not state-of-the-art, but it runs on just about anything and is extremely fast.
In Turn a single image into a navigable 3D Gaussian Splat with depth
In my experience NeRF tends to work better for objects that photogrammetry struggles with, like transparent objects. By using marching cubes you can also export scenes as a mesh. instant-ngp (https://github.com/NVlabs/instant-ngp) has done an amazing job of making NeRF accessible, but you still need camera positions from other software such as COLMAP.
In Photogrammetry Guide
krasin·Mar 25, 2022Recommendation phrase
Still, NVIDIA's achievement (and Thomas Müller in particular) is amazing. Thomas and his collaborators achieved an almost 1000x performance improvement, by a combination of algorithmical and implementation tricks. I highly recommend trying this at home: https://nvlabs.github.io/instant-ngp/ https://github.com/NVlabs/instant-ngp Very straightforward and gives better insight into what NeRF is than any shiny marketing demo.
In Nvidia Research Turns 2D Photos into 3D Scenes

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