Browsing: AI News
Researchers developed the CoDi-2 Multimodal Large Language Model (MLLM) from UC Berkeley, Microsoft Azure AI, Zoom, and UNC-Chapel Hill to address the problem of generating and…
With a steady training process, diffusion models have revolutionized picture production, attaining previously unheard-of levels of variety and realism. But unlike GANs and VAEs, their sampling…
The problem of video understanding and generation scenarios has been addressed by researchers of Tencent AI Lab and The University of Sydney by presenting GPT4Video. This…
Human posture is crucial in overall health, well-being, and various aspects of life. It encompasses the alignment and positioning of the body while sitting, standing, or…
In computer vision and robotics, simultaneous localization and mapping (SLAM) with cameras is a key topic that aims to allow autonomous systems to navigate and understand…
Researchers from the University of Southern California, the University of Washington, Bar-Ilan University, and Google Research introduced DreamSync, which addresses the problem of enhancing alignment and…
Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based on data…
Diffusion models are used for generating high-quality samples from complex data distributions. Discriminative diffusion models aim to leverage the principles of diffusion models for tasks like…
In generative modeling, diffusion models (DMs) have assumed a pivotal role, facilitating recent progress in producing high-quality picture and video synthesis. Scalability and iterativeness are two…
Natural picture production is now on par with professional photography, thanks to a notable recent improvement in quality. This advancement is attributable to creating technologies like…