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Found 3 papers, 1 papers with code
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training
For high-quality and fast generation, we employ a variational autoencoder and latent diffusion model, and improve the performance with adversarial training.
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
Vector quantization (VQ) is a technique to deterministically learn features with discrete codebook representations.
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perceptible source objects, e. g., sounds of footsteps come from the feet of a walker.
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