The article presents DanceMeld, an innovative dance generation pipeline for 3D digital human applications. It uses a hierarchical VQ-VAE to disentangle dance poses and dance movements. This allows the system…
Continue readingThe paper introduces ‘Adapt & Align’, a method for continual learning of neural networks using generative models. The method addresses the issue of performance loss in neural networks when retrained…
Continue readingThe article discusses the use of Denoising Diffusion Probabilistic Models (DDPM) in the generation of symbolic music with desired composer styles. The authors propose the combination of a vector quantized…
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