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The rapid progression of Large Language Models (LLMs) is a pivotal milestone in the evolution of artificial intelligence. In recent years, we have witnessed a surge…
Computer vision has advanced significantly in recent decades, thanks in large part to comprehensive benchmark datasets like COCO. However, nearly a decade after its introduction, COCO’s…
Within multimedia and communication contexts, the human face serves as a dynamic medium capable of expressing emotions and fostering connections. AI-generated talking faces represent an advancement…
Researchers have recently seen a surge of interest in image-and-language representation learning, aiming to capture the intricate relationship between visual and textual information. Among all the…
In digital media, the need for precise control over image and video generation has led to the development of technologies like ControlNets. These systems enable detailed…
In the realm of artificial intelligence, the emergence of powerful autoregressive (AR) large language models (LLMs), like the GPT series, has marked a significant milestone. Despite…
Multimodal architectures are revolutionizing the way systems process and interpret complex data. These advanced architectures facilitate simultaneous analysis of diverse data types such as text and…
In the rapidly advancing realm of computer vision, developing models capable of learning and adapting through minimal human intervention has opened new avenues for research and…
Modern image-generating tools have come a long way thanks to large-scale text-to-image diffusion models like GLIDE, DALL-E 2, Imagen, Stable Diffusion, and eDiff-I. Thanks to these…
LLMs, pretrained on extensive textual data, exhibit impressive capabilities in generative and discriminative tasks. Recent interest focuses on employing LLMs for multimodal tasks, integrating them with…