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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,…
Google researchers address the challenges of achieving a comprehensive understanding of diverse video content by introducing a novel encoder model, VideoPrism. Existing models in video understanding…
Unified vision-language models have emerged as a frontier, blending the visual with the verbal to create models that can interpret images and respond in human language.…