A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
The article discusses a new concept called ‘prompt-aligned personalization’ for improving the performance of text-to-image models. It addresses the limitations of existing personalization methods, such as compromising the ability to…
Continue readingThe article introduces E2GAN, a novel approach for efficient training of GANs for image-to-image translation. This technique uses data distillation from large-scale text-to-image diffusion models, such as Stable Diffusion, for…
Continue readingThe article introduces a novel audio-video recognition approach called the Audio-Video Transformer (AVT) that uses effective spatio-temporal representation for improved action recognition. The research reduces cross-modality complexity via an audio-video…
Continue readingThe article discusses the challenge of audio-to-audio (A2A) style transfer, especially in the context of transferring emotional content. It proposes a solution in the form of the Zero-shot Emotion Style…
Continue readingThe paper proposes HyperGANStrument, a novel neural synthesizer that enhances the generation capability of GANStrument by introducing a pitch-invariant hypernetwork. This hypernetwork modulates the weights of a pre-trained GANStrument generator,…
Continue readingThe paper introduces MAGNET, a masked generative sequence modeling method that operates directly over several streams of audio tokens. Unlike previous works, MAGNET is a single-stage, non-autoregressive transformer. During training,…
Continue readingThe article discusses a framework for training singer identity encoders that can extract representations suitable for singing-related tasks. Different self-supervised learning techniques are explored on a large collection of isolated…
Continue readingThis article discusses the development of a noise-robust zero-shot text-to-speech (TTS) method. The method, based on speaker embeddings extracted from reference speech using self-supervised learning (SSL) speech representations, can reproduce…
Continue readingThis academic article presents a detailed overview of Agent AI, a new class of interactive systems that can perceive visual stimuli, language inputs, and other environmentally-grounded data. Agent AI systems…
Continue readingThis paper discusses the importance of communication among healthcare professionals for patient treatment. The researchers introduce EHRFlow, a system used to analyze the effectiveness and efficiency of temporal communication networks…
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