Browsing: AI News
Large language models, predominantly based on transformer architectures, have reshaped natural language processing. The LLaMA family of models has emerged as a prominent example. However, a…
Large Language Models (LLMs) and powerful vision encoders are combined to create Large Vision-Language Models (LVLMs). Models like GPT-4 and other large vision-language model systems have…
Text-to-image diffusion models are among the best advances in the field of Artificial Intelligence (AI). However, there are constraints associated with personalizing existing text-to-image diffusion models…
The pursuit of high-fidelity 3D representations from sparse images has seen considerable advancements, yet the challenge of accurately determining camera poses remains a significant hurdle. Traditional…
The significance of computing and data size is undeniable in large-scale multimodal learning. Still, collecting data from high-quality video text is always challenging due to its…
In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). Spearheaded by pioneers like…
In the ever-evolving domain of remote identification technologies, gait recognition stands out for its unique capacity to identify individuals from a certain distance without requiring direct…
Speech perception and interpretation rely heavily on nonverbal signs such as lip movements, which are visual indicators fundamental to human communication. This realization has sparked the…
Image Quality Assessment (IQA) is a method that standardizes the evaluation criteria for analyzing different aspects of images, including structural information, visual content, etc. To improve…
Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio,…