Refining the Model: Machine Learning in Bifrost Part 4 @Autodesk_Maya
Refining the Model: Machine Learning in Bifrost Part 4 @Autodesk_Maya
Uploaded November 2024 | Updated September 2026, 2 weeks ago
Evan Atherton iterates on the IK rig in Bifrost, and discusses strategies for improving machine-learning solutions.

Get the scene file here: areadownloads.autodesk.com/wdm/maya/bifrost_deep_learning_tutorial_geo.zip

00:00 - Intro
00:37 - Data engineering
06:50 - Feature engineering
13:16 - Closing thoughts
Refining the Model: Machine Learning in Bifrost Part 4Introduction to Bifrost: Lesson 5 - Simulation basics IIBifrost Wedging 101-4: Submitting unsimulated variationsBifrost Bootcamp 7.4 - Simulating cloth with MPMNeural Nets for 3D CG: Machine Learning in Bifrost Part 1USD in Bifrost - Lesson 2: Creating variants (Variant sets and Primvars)Bifrost Bootcamp 2.1 - Intro to scatteringBifrost Rigging in Maya - Part 2: The module interfaceBifrost Rigging in Maya - Part 7: Publishing Custom ModulesStop starting from scratch! Use AI meshes to work smarter, not harderBuilding The Matrix City in USD using Maya, Bifrost, and ArnoldIntro to USD Workflow – Ep.2 Assembly
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Refining the Model: Machine Learning in Bifrost Part 4

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