In computer vision and robotics, simultaneous localization and mapping (SLAM) with cameras is a key topic that aims to allow autonomous systems to navigate...
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...
Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based...
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...
Recent progress in image generation leverages large-scale diffusion models trained on paired text and image data, incorporating diverse conditioning approaches for enhanced visual control....
Google DeepMind's researchers have developed SODA, an AI model that addresses the problem of encoding images into efficient latent representations. With SODA, seamless transitions...
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...
Natural picture production is now on par with professional photography, thanks to a notable recent improvement in quality. This advancement is attributable to creating...
High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR...
NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density...
Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which...
Fine-grained image classification is a computer vision task aiming to classify images into subcategories within a larger category. It involves the intricate identification of...
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