Abstract: Accurate 3D medical image segmentation is crucial for diagnosis and treatment. Diffusion models demonstrate promising performance in medical image segmentation tasks due to the progressive ...

Over the past six years, artificial intelligence has been significantly influenced by 12 foundational research papers. One ...

Medical imaging is a cornerstone of modern clinical medicine, supporting diagnostic assessment, therapeutic planning, and prognostic evaluation.

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...

Perplexity has released pplx-embed, a collection of multilingual embedding models optimized for large-scale retrieval tasks. These models are designed to handle the noise and complexity of web-scale ...

Overview of the FuseCodec speech tokenization framework. Input speech x is encoded into latent features Z, then quantized into discrete tokens Q(1:K) via residual vector quantization (RVQ). To enrich ...

Abstract: The existing deep-learning based robust watermarking model generally applies a discriminator to form generative adversarial network (GAN) for increasing the quality of encoded images, and ...