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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 images from text but about animating these images to create coherent, lifelike videos. The quest for producing high-fidelity, aesthetically pleasing videos that accurately reflect the described scenarios presents a…

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 capable of understanding and interpreting images. They serve as the backbone for enhancing machine learning models, particularly those tasked with deciphering the complex interplay between visual elements in images…

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 has been observed, the aggregation of multiple rewards can lead to over-optimization in certain metrics and degradation in others. Manual determination of optimal weights becomes a challenging task. This…