#characterTD

#SystemShock 's Enforcer - #rigging and #animation by our talented animation and #characterTD teams.

👍 Give a like if you'd love a follow-up on adding non-linearity to linear regression! Or drop a comment to let me know what you'd like to see next.

I’m always excited to dive deeper into #MachineLearning applied to #Rigging topics and #CharacterTD

GitHub - lopezmauro/ml-example-nodes: python machine learning nodes mean to be used as instructional material NOT FOR PRDUCTION USE python machine learning nodes mean to be used as instructional material NOT FOR PRDUCTION USE - GitHub - lopezmauro/ml-example-nodes: python machine learning nodes mean to be used as instructional...

🤖 Dive into ML in Autodesk Maya
I’ve made a repo with example ML nodes for Maya, starting with a Regression Node for linear regression inference. Perfect for learning & experimentation!

📂 Check it out: github.com/lopezmauro/m...

#MachineLearning #AutodeskMaya #ML #Rigging #CharacterTD

Super proud and happy to be able to finally show this project and showcase the in-game Realtime ML facial and cloth tech that I've working on 🤓

#Rigging #MachineLearning #ML #CharacterTD #Intergalactic #NaughtyDog

youtu.be/o7TVPoxwi74?...

Neural networks might be stealing the spotlight, but classical machine learning is still a powerful and accessible tool for smarter, faster rigging workflows. In this thread, I’ll share three cool ML examples you can use right now 🧵👀

#Rigging #MachineLearning #ML #CharacterTD

Here are some pseudo-code images.
🎯 Modular and easy to extend:
✅ Add constraints with loss functions.
✅ Assign weights to losses for flexibility.
✅ Add new types of losses dynamically.

Perfect for tasks like mesh fitting, alignment, or other approximations
#TechInnovation
#Rigging
#CharacterTD

Neural networks can be powerful tools for approximating mesh deformations by aligning a source mesh to a target mesh

One key advantage is the flexibility to include various constraints via loss functions such as:

NORMAL LOSS: Preserve source normals to maintain the overall shape of the mesh. EDGE LOSS: Preserve edge lengths to retain the original volume of the mesh

SYMMETRY LOSS: If the source mesh has symmetry, can penalizes asymmetrical deformations. LAPLACIAN LOSS: minimizes differences in vertex neighborhoods, preventing unwanted distortions

💡 Did you know? Neural network libraries like PyTorch can act as general-purpose approximators without building a network.

Just optimize a tensor with losses to solve tasks such a mesh matching with constraints. Continue on🧵

#MachineLearning
#NeuralNetworks
#TechInnovation
#Rigging
#CharacterTD

Hello I'm Rijah, and I've been rigging professionally since 2006.

I'll try reposting some stuff from my old account. Can we do threads here?

To start here's an outdated Portfolio Day compilation loop showing some rigging work I've done from 2016 to 2020!

#rigging #maya #3d #characterTD #animation

Our refreshed & updated Rigging 101 & Maya C++ API 101 classes start Monday, registration for the next run of both classes is open. And our brand new Face Rigging 101 course starts in June,has spots left.
#rigtip #animtip #Maya #techart #characterTD #rigging #production #gamedev