The study addresses the Sim2Real gap in the field of vision-based tactile sensors for classifying object surfaces. They trained a Diffusion Model to bridge this gap using a small dataset…
Continue readingThe paper discusses the use of modern deep probabilistic generative models, specifically a Diffusion Model, to compute the likelihood of a musical input sequence. The model learns complex non-linear features…
Continue readingThis paper introduces a new diffusion autoregressive model (DIFFAR) for generating high-quality raw speech waveforms. The model generates overlapping frames sequentially, each conditioned on a portion of the previously generated…
Continue readingThe study introduces KV Inversion, a novel method for text-conditioned real image action editing. The method addresses the problem of action editing, ensuring the edited results match the corresponding action,…
Continue readingThe paper introduces KV Inversion, a method for text-conditioned real image action editing. This method allows for results that conform to the action semantics of the editing prompt while preserving…
Continue readingThis article introduces KV Inversion, a novel method for text-conditioned real image action editing. Unlike existing methods, KV Inversion can produce results that adhere to the action semantics of the…
Continue readingCLIPSONIC is a novel approach to text-to-audio synthesis that leverages unlabeled videos and pretrained language-vision models. The study aims to address the challenge of acquiring high-quality text annotations for audio…
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