DAFNet: Generating Diverse Actions for Furniture Interaction by Learning Conditional Pose Distribution
Taeil Jin,
Sung‐Hee Lee
Abstract:We present DAFNet, a novel data‐driven framework capable of generating various actions for indoor environment interactions. By taking desired root and upper‐body poses as control inputs, DAFNet generates whole‐body poses suitable for furniture of various shapes and combinations. To enable the generation of diverse actions, we introduce an action predictor that automatically infers the probabilities of individual action types based on the control input and environment. The action predictor is learned in an unsu… Show more
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