Browsing: AI News
Object detection plays a vital role in multi-modal understanding systems, where images are input into models to generate proposals aligned with text. This process is crucial…
In the landscape of text-to-image models, the demand for high-quality visuals has surged. However, these models often need to grapple with resource-intensive training and slow inference,…
There’s a burgeoning interest in technologies that can transform textual descriptions into videos. This area, blending creativity with cutting-edge tech, is not just about generating static…
Researchers from Tel-Aviv University and Google Research introduced a new method of user-specific or personalized text-to-image conversion called Prompt-Aligned Personalization (PALP). Generating personalized images from text…
A pressing issue emerges in text-to-image (T2I) generation using reinforcement learning (RL) with quality rewards. Even though potential enhancement in image quality through reinforcement learning RL…
Combining CLIP and the Segment Anything Model (SAM) is a groundbreaking Vision Foundation Models (VFMs) approach. SAM performs superior segmentation tasks across diverse domains, while CLIP…
When the camera and the subject move about one another during the exposure, the result is a typical artifact known as motion blur. Computer vision tasks…
Developing large-scale datasets has been critical in computer vision and natural language processing. These datasets, rich in visual and textual information, are fundamental to developing algorithms…
Text-to-image synthesis is a revolutionary technology that converts textual descriptions into vivid visual content. This technology’s significance lies in its potential applications, ranging from artistic digital…
The constant visibility of hands in our daily activities makes them crucial for a sense of self-embodiment. The problem is the need for a digital hand…