Browsing: AI News
Recently, diffusion models have become powerful tools in various fields, like image and 3D object generation. Their success comes from their ability to handle denoising tasks…
Large Language Models (LLMs) and their multi-modal counterparts (MLLMs) have made significant strides in advancing artificial general intelligence (AGI) across various domains. However, these models face…
Document understanding (DU) focuses on the automatic interpretation and processing of documents, encompassing complex layout structures and multi-modal elements such as text, tables, charts, and images.…
Robustness is crucial for deploying deep learning models in real-world applications. Vision Transformers (ViTs) have shown strong robustness and state-of-the-art performance in various vision tasks since…
Whole-body pose estimation is a key component for improving the capabilities of human-centric AI systems. It is useful in human-computer interaction, virtual avatar animation, and the…
A fundamental topic in computer vision for nearly half a century, stereo matching involves calculating dense disparity maps from two corrected pictures. It plays a critical…
Computer vision enables machines to interpret & understand visual information from the world. This encompasses a variety of tasks, such as image classification, object detection, and…
Recent progress in Large Multimodal Models (LMMs) has demonstrated remarkable capabilities in various multimodal settings, moving closer to the goal of artificial general intelligence. By using…
Large Language Models (LLMs) have made significant strides in recent years, prompting researchers to explore the development of Large Vision Language Models (LVLMs). These models aim…
Text-to-image generation models have gained traction with advanced AI technologies, enabling the generation of detailed and contextually accurate images based on textual prompts. The rapid development…