[[
wikihub
]]
Search
⌘K
Explore
People
For Agents
Sign in
Explore
People
For Agents
Sign in
@jemoka / Jemoka Knowledge Base / wiki/concepts/example_cloth_fitting_prediction.md
Suggest edit
Cancel
Submit suggestion
Title
Name
Note
--- title: "Example: Cloth Fitting Prediction" type: concept source: https://www.jemoka.com/posts/kbhexample_cloth_fitting_prediction/ confidence: high status: active --- Have: \(m\) training data points \((\theta_{i}, \phi_{i})\) generated from the true/approximated function \(\phi_{i} = f\qty (\theta_{i})\) (which uses physical simulation/CV techniques). Training data here is *very expensive and lots of errors Want: \(\hat{f}\qty(\theta) = f\qty(\theta)\) Problem: as joints rotate (which is highly nonlinear), cloth verticies move in complex and non-linear ways which are difficult to handle with a standard neural network—there are highly non-linear rotations! which is not really easy to make with standard model functions using \(\hat{f}\).