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.
Generative models, such as Generative Adversarial Networks (GANs), have the capacity to generate lifelike images of objects and dressed individuals after being trained on...
Dynamic view synthesis is a computer vision and graphic task attempting to reconstruct dynamic 3D scenes from captured videos and generate immersive virtual playback....
Across the globe, individuals create myriad videos daily, including user-generated live streams, video-game live streams, short clips, movies, sports broadcasts, and advertising. As a...
Given the success of diffusion models in text-to-image generation, a surge of video generation techniques has emerged, showcasing interesting applications in this realm. Nevertheless,...
Cartoon animation has seen significant progress since its beginnings in the early 1900s when animators would draw individual frames by hand on paper. While...
Probabilistic diffusion models, a cutting-edge category of generative models, have become a critical point in the research landscape, particularly for tasks related to computer...
Three-dimensional (3D) tracking from monocular RGB videos is a cutting-edge field in computer vision and artificial intelligence. It focuses on estimating the three-dimensional positions...
Estimating 3D Human Pose and Shape (HPS) from photos and moving pictures is necessary to reconstruct human actions in real-world settings. Nevertheless, 3D inference...
Cardiopulmonary Resuscitation (CPR) is a life-saving medical procedure designed to revive individuals who have experienced cardiac arrest, meaning the heart suddenly stops beating effectively...
Recently, text-to-image (T2I) diffusion models have exhibited promising outcomes, sparking explorations into numerous generative tasks. Some efforts have been made to invert pre-trained text-to-image...
