A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

1 Centre for Digital Music, Queen Mary University of London, U.K. 2 Music & Audio Machine Learning Lab, Universal Music Group, London, U.K. Multimodal contrastive models have achieved strong ...

Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a ...

Abstract: Text encoders in diffusion models have rapidly evolved, transitioning from CLIP to T5-XXL. Although this evolution has significantly enhanced the models’ ability to understand complex ...

We introduce a video diffusion transformer to design metasurfaces with a given Eletromagnetic response via generating current distributions at different frequencies. To use the pretained models, start ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Chinese startup Z.ai has released GLM-4.6V, a model family that allows agents to pass images directly to tools without converting them to text first. The release includes a 106-billion-parameter ...