ETH Zurich

Large language models (LLMs) have revolutionized various applications across industries by providing advanced natural language processing capabilities. These models' ability to generate, understand, and...

In surroundings humans have created, line segments are common and efficiently convey the underlying picture structure. They complement feature points nicely because of their...

It is crucial to produce high-fidelity digital humans for numerous applications, including immersive telepresence, AR/VR, 3D graphics, and the developing metaverse. Getting customized avatars...

Estimating the trajectory of items in a video clip is the goal of multiple object tracking (MOT). While specific MOT standards only consider tracking...

Augmented reality (AR) is on its way to becoming a part of our daily lives. We can define it as placing a virtual object...

Natural language models can model a text corpus C by learning the probability distribution p over all natural language strings Y∈C, with Y={y_1,y_2,y_3...,y_t}. For...

Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor...

This Article Is Based On The Research 'TapType: Ten-finger text entry on everyday surfaces via Bayesian inference'. All Credit For This Research Goes To...

This article summary is based on the research paper: 'gDNA: Towards Generative Detailed Neural Avatars' All credits for this research goes to the authors of...

Visual tracking involves estimating the trajectory of an object in a video series, which is one of the fundamental challenges in computer vision. With...