THE VIDEO SHELF · procedural animation
Animation Bootcamp: An Indie Approach to Procedural Animation
David Rosen of Wolfire Games explains how simple procedural techniques can produce fluid, interactive character animation from very few keyframes. Examples come from Overgrowth, Receiver and Black Shades, from his 2014 GDC session.
Why HN readers recommended it
HN points to it as a concrete case of procedural animation that keeps characters responsive, often in threads about Overgrowth and game feel.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- GDC Festival of Gaming
- Topic
- procedural animation
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 9
- Recommendation years in dataset
- 2021–2026
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.
> [VIDEO] David Rosen pulled off quite a few little masterpieces -- his gamedev competition entries always had fantastically unique aspects. I cannot believe "Black Shades" was almost 20 years ago! (I have no affiliation, but I am glad to see [LINK] is still alive …
dognotdog on Hacker News · 2021-12
In The Matrix Is UnrealHere's a video I've enjoyed of David Rosen giving a presentation at Game Developers Conference 2014 going over procedural animation used in Overgrowth. [VIDEO]
neandrake on Hacker News · 2022-04
In Overgrowth: Open-Source AnnouncementNot only that, but some of their approaches were immensely cool, they used procedural animations from just a few keyframes, have a look at this video that someone else linked a while back "Animation Bootcamp: An Indie Approach to Procedural Animation": [VIDEO]
KronisLV on Hacker News · 2022-04
In Overgrowth: Open-Source Announcement
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.