Employing scene affordance as an intermediate representation enhances motion generation capabilities on benchmarks (a) HumanML3D and (b) HUMANISE, and significantly boosts the model’s ability to generalize to (c) unseen scenarios. Credit: Wang et al.
Machine learning-based models that can autonomously generate various types of content have become increasingly advanced over the past few years. These frameworks have opened new possibilities for filmmaking and for compiling datasets to train robotics algorithms.
While some existing models can generate realistic or artistic images based on text descriptions, developing AI that can generate videos of moving human figures based on human instructions has …
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