Topic
image processing
Pixel-TTS: Image-Based Text Rendering Improves Robustness in Speech Synthesis
Researchers propose Pixel-TTS, the first visually grounded text-to-speech framework that renders text as images and processes them with 2D convolutions. This eliminates embedding matrix expansion during fine-tuning and improves robustness to unseen characters and orthographic variations. Experiments show competitive performance with faster convergence and zero-shot generalization.
Deep Learning Automates Doppler Angle Estimation in Ultrasound, Reducing Measurement Errors
A deep learning approach developed using 2100 carotid ultrasound images can automatically estimate Doppler angle, reducing error. The best model achieved mean absolute error less than clinical threshold, potentially improving blood velocity measurements.
Tool-IQA: Augmenting Image Quality Assessment with Simple Tools to Improve VLM-Based Scoring
Researchers propose Tool-IQA, a method that enhances Vision-Language Models (VLMs) for image quality assessment by adding a Magnifier and Gamma Corrector tools. This shifts from static one-shot scoring to a tool-augmented workflow, achieving a PLCC of 0.854 on the CLIVE dataset, outperforming existing state-of-the-art models.