While humans can easily infer the shape of an object from 2D images, computers have difficulty reconstructing accurate 3D models ...
Diffusion probabilistic models (DPMs) have long been the cornerstone of ai imaging, but their computational demands have been a major ...
The well-known artificial intelligence (ai) based chatbot i.e. ChatGPT, which has been built on the transformative architecture of GPT, uses ...
Language models (LMs), such as GPT-4, are at the forefront of natural language processing, offering capabilities ranging from crafting complex ...
Large Language Models (LLM) have revolutionized various ai-based applications, from chat models to autonomous driving. This evolution has spurred the ...
In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes and generate ...
Privacy in machine learning models has become a critical concern due to membership inference attacks (MIA). These attacks measure whether ...
NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that ...
Advances in 3D graphics and perception have been demonstrated by recent advances in neural radiation fields (NeRF). Additionally, the next-generation ...
Generative models, such as Generative Adversarial Networks (GAN), have the ability to generate realistic images of clothed objects and individuals ...
