Focused on ML applied on character rigging and animation
Pick source meshes, paint regions, interpolate in latent space.
Great for learning how ML can work with geometry.
👉 github.com/lopezmauro/m...
#ml #3d #opensource #techart
Pick source meshes, paint regions, interpolate in latent space.
Great for learning how ML can work with geometry.
👉 github.com/lopezmauro/m...
#ml #3d #opensource #techart
Use PCA to reduce the dimensionality of 3D facial data, then generate new faces by interpolating in the reduced space, and then convert it back to the original space for a brand new face.
Use PCA to reduce the dimensionality of 3D facial data, then generate new faces by interpolating in the reduced space, and then convert it back to the original space for a brand new face.
Use k-means clustering to group vertices based on spatial proximity and normal direction. This helps segment parts of a mesh automatically (e.g., head, torso, limbs).
Use k-means clustering to group vertices based on spatial proximity and normal direction. This helps segment parts of a mesh automatically (e.g., head, torso, limbs).
Use linear regression to model the relationship between a driver (e.g., joint rotation) and a driven (e.g., blendshape weight). Instead of setting keys manually, train the relationship using example data and let the model interpolate for unseen values.
Use linear regression to model the relationship between a driver (e.g., joint rotation) and a driven (e.g., blendshape weight). Instead of setting keys manually, train the relationship using example data and let the model interpolate for unseen values.
🎯 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
🎯 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
Just optimize a tensor with losses to solve tasks such a mesh matching with constraints. Continue on🧵
#MachineLearning
#NeuralNetworks
#TechInnovation
#Rigging
#CharacterTD
Just optimize a tensor with losses to solve tasks such a mesh matching with constraints. Continue on🧵
#MachineLearning
#NeuralNetworks
#TechInnovation
#Rigging
#CharacterTD
After experimenting with neural networks for joint rotations, here are a few lessons I’ve learned
Have you tried similar methods? Let’s discuss!
#MachineLearning #DeepLearning #NeuralNetworks #AnimationTech #Rigging
After experimenting with neural networks for joint rotations, here are a few lessons I’ve learned
Have you tried similar methods? Let’s discuss!
#MachineLearning #DeepLearning #NeuralNetworks #AnimationTech #Rigging