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We present a novel method for placing a 3D human animation into a 3D scenewhile maintaining any human-scene interactions in the animation. We use thenotion of computing the most important meshes in the animation for theinteraction with the scene, which we call "keyframes." These keyframes allow usto better optimize the placement of the animation into the scene such thatinteractions in the animations (standing, laying, sitting, etc.) match theaffordances of the scene (e.g., standing on the floor or laying in a bed). Wecompare our method, which we call PAAK, with prior approaches, including POSA,PROX ground truth, and a motion synthesis method, and highlight the benefits ofour method with a perceptual study. Human raters preferred our PAAK method overthe PROX ground truth data 64.6\% of the time. Additionally, in directcomparisons, the raters preferred PAAK over competing methods including 61.5\%compared to POSA.

Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes