FineMoGen: A Diffusion-based and LLM-Augmented Framework that Generates Fine-Grained Motion with Spatial-Temporal Prompt

Motion generation is a dynamic and challenging domain within computer vision dedicated to creating realistic human actions in digital environments. Its applications span animation, virtual reality, and interactive media, enabling the production of lifelike, human-centric animations. However, generating complex human motions, particularly those aligned with detailed spatiotemporal descriptions, has remained a significant hurdle. Existing methods, […]

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