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Found 3 papers, 1 papers with code
LM2D: Lyrics- and Music-Driven Dance Synthesis
First, we propose LM2D, a novel probabilistic architecture that incorporates a multimodal diffusion model with consistency distillation, designed to create dance conditioned on both music and lyrics in one diffusion generation step.
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Grug provides a unified framework integrating graph topology and node features, based on which we conduct a detailed theoretical analysis of their effectiveness.
Brain-inspired Search Engine Assistant based on Knowledge Graph
However, when a query is complex, developers need to repeatedly refine the search keywords and open a large number of web pages to find and summarize answers.
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