Author: Daniele Lorenzi

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Daniele Lorenzi received his M.Sc. in ICT for Internet and Multimedia Engineering in 2021 from the University of Padua, Italy. He is a Ph.D. candidate at the Institute of Information Technology (ITEC) at the Alpen-Adria-Universität (AAU) Klagenfurt. He is currently working in the Christian Doppler Laboratory ATHENA and his research interests include adaptive video streaming, immersive media, machine learning, and QoS/QoE evaluation.

From Words to Worlds: Exploring Video Narration With AI Multi-Modal Fine-grained Video Description

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Language is the predominant mode of human interaction, offering more than just supplementary details to other faculties like sight and sound. It also serves...

Beyond the Pen: AI’s Artistry in Handwritten Text Generation from Visual Archetypes

AI Paper Summary
The emerging field of Styled Handwritten Text Generation (HTG) seeks to create handwritten text images that replicate the unique calligraphic style of individual writers....

AI Researchers From Apple And The University Of British Columbia Propose FaceLit: A Novel AI Framework For Neural 3D Relightable Faces

AI Paper Summary
In recent times, there has been a growing fascination with the task of acquiring a 3D generative model from 2D images. With the advent...

Google AI Research Proposes VidLNs: An Annotation Procedure that Obtains Rich Video Descriptions that are Semantically Correct and Densely Grounded with Accurate Spatio-Temporal Localizations

AI Paper Summary
Vision and language research is a dynamically evolving field that has recently witnessed remarkable advancements, particularly in datasets that establish connections between static images...

Detect Anything You Want With UniDetector

AI Paper Summary
Deep learning and AI have made remarkable progress in recent years, especially in detection models. Despite these impressive advancements, the effectiveness of object detection...

Meet Rodin: A Novel Artificial Intelligence (AI) Framework To Generate 3D Digital Avatars From Various Input Sources

AI Paper Summary
Generative models are becoming the de-facto solution for many challenging tasks in computer science. They represent one of the most promising ways to analyze...

Meet TEXTure: A Novel Artificial Intelligence (AI) Framework For Text-Guided Texturing of 3D Meshes

AI Paper Summary
Text-to-image generation is a novel and fascinating area of research in the field of artificial intelligence (AI), where the goal is to generate realistic...

Transform Fashion Images Into Stunning Photorealistic Videos with the AI Framework “DreamPose”

AI Paper Summary
Fashion photography is ubiquitous on online platforms, including social media and e-commerce websites. However, as static images, they can be limited in their ability...

Meet CutLER (Cut-and-LEaRn): A Simple AI Approach For Training Object Detection And Instance Segmentation Models Without Human Annotations

AI Paper Summary
Object detection and image segmentation are crucial tasks in computer vision and artificial intelligence. They are critical in numerous applications, such as autonomous vehicles,...

Artificial Intelligence (AI) Researchers from Cornell University Propose a Novel Neural Network Framework to Address the Video Matting Problem

AI Paper Summary
Image and video editing are two of the most popular applications for computer users. With the advent of Machine Learning (ML) and Deep Learning...

Sketch-Based Image-to-Image Translation: Transforming Abstract Sketches into Photorealistic Images with GANs

AI Paper Summary
Some people are skilled at sketching, while others may be talented in other tasks. When presented with a shoe image, individuals can make simple...

Meet DifFace: A Novel Deep-Learning Diffused Model For Blind Face Restoration

AI Paper Summary
Looking at really old photos, we can notice a clear difference from the ones produced by recent cameras. Blurry or pixelled photos were once...
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