| Website | https://theorangeduck.com/ |
| Website | https://theorangeduck.com/ |
I've uploaded a retargeted version of the 100STYLE dataset matching the other datasets: https://github.com/orangeduck/100style-retarget/
I wasn't sure if I should add it at first. The quality is lower due to the inertial capture, and it's missing finger motion, but overall I figured it's still worth it.
It's been a while since I did a pure Machine Learning article on my blog, but today I have a post for you about adding noise to Neural Networks, and some fun experiments with Flow-Matching:
https://theorangeduck.com/page/noise-neural-networks-flow-matching
My latest article is about one of my favorite techniques in graphics - Müller's method of Polar Decomposition.
It also details some variations, including one which is ~2x faster to compute with more regular convergence.
Finally, I've made a very simple example raylib application which can be used to visualize animation data from these datasets on the common character mesh:
By default it works with the Geno character from the following animation datasets:
https://github.com/orangeduck/lafan1-resolved
https://github.com/orangeduck/zeroeggs-retarget
https://github.com/orangeduck/motorica-retarget
But you should be able to hack it (using some of the scripts included) to work on other characters and datasets too.
I've just uploaded a simple #raylib example application for viewing animation data on a skinned mesh:
https://github.com/orangeduck/GenoView
It has (what I consider) the minimum rendering required to actually evaluate skinned animation: basic lighting, shadow maps, SSAO, and a grid shader.
I just added another appendix to my page on cubic interpolation of quaternions, with an explanation of how to prevent overshooting using Monotone Cubic Interpolation:
https://theorangeduck.com/page/cubic-interpolation-quaternions#overshoot
Taken from this fantastic blog post (https://jbrd.github.io/2020/12/27/monotone-cubic-interpolation.html) by James Bird
To prepare for the article I took the time to re-process some of the highest quality datasets in the community onto a common character. I hope that can be useful too!
https://github.com/orangeduck/lafan1-resolved
https://github.com/orangeduck/motorica-retarget
https://github.com/orangeduck/zeroeggs-retarget