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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…
Integrating two-dimensional (2D) and three-dimensional (3D) data is a significant challenge. Models tailored for 2D images, such as those based on convolutional neural networks, need to…
The rapidly evolving domain of text-to-3D generative methods, the challenge of creating reliable and comprehensive evaluation metrics is paramount. Previous approaches have relied on specific criteria,…