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We present a novel method for controllable human animation generation. It is the first method that enables generating sequences from any number of motion trajectories, allowing a fine-grained control over the animation.

We introduce a Locally Conditioned Atlas (LoCondA), a framework for representing a 3D object hierarchically in a generative model. We show that the proposed approach provides structurally coherent reconstructions while producing meshes of quality comparable to the competitors.