Browsing: AI News
Researchers from Lehigh University and Microsoft introduced a new multi-agent framework, Mora, to address the challenge of advancing video generation technology. While in recent years, there…
Language models’ evolution is shifting from Large Language Models (LLMs) to the era of Small Language Models (SLMs). At the core of both LLMs and SLMs…
Anomaly detection (AD) is a crucial process in industrial applications, used to identify unexpected events in the input data. This process is often applied to analyze…
The performance of multimodal large Language Models (MLLMs) in visual situations has been exceptional, gaining unmatched attention. However, their ability to solve visual math problems must…
Large image-to-video (I2V) models seem to have a lot of generalizability based on their recent successes. Despite the fact that these models can hallucinate intricate dynamic…
Recent advancements in multimodal large language models (MLLM) have revolutionized various fields, leveraging the transformative capabilities of large-scale language models like ChatGPT. However, these models, primarily…
Generating realistic human facial images has long challenged computer vision and machine learning researchers. Early techniques like Eigenfaces used Principal Component Analysis (PCA) to learn statistical…
Large language models like GPT-4 are incredibly powerful, but they sometimes struggle with basic tasks involving visual perception – like counting objects in an image. It…
Harnessing the strong language understanding and generation potential of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) have been developed in recent years for vision-and-language…
In the dynamic realm of computer vision and artificial intelligence, a new approach challenges the traditional trend of building larger models for advanced visual understanding. The…