5 papers
SiGnature: Explicit Motion Diffusion for Stylized Semantic Gesture
Adi Rosenthal, Tomer Koren, Nadav Shaked +2
While recent advances in co-speech gesture generation have achieved impressive rhythmic synchronization, synthesizing gestures that are both semantically meaningful and faithful to…
Φ-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation
Ofir Abramovich, Nadav Z. Cohen, Adi Rosenthal +1
Latent video diffusion models generate videos by progressively transforming Gaussian noise into realistic samples conditioned on text or visual inputs. However, existing conditioni…
Progressive Photorealistic Simplification
Adi Rosenthal, Dana Berman, Yedid Hoshen +1
Existing image simplification techniques often rely on Non-Photorealistic Rendering (NPR), transforming photographs into stylized sketches, cartoons, or paintings. While effective…
D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models
Adi Rosenthal, Nadav Shaked
D-Nikud, a novel approach to Hebrew diacritization that integrates the strengths of LSTM networks and BERT-based (transformer) pre-trained model. Inspired by the methodologies empl…
Flood forecasting with machine learning models in an operational framework
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal +28
The operational flood forecasting system by Google was developed to provide accurate real-time flood warnings to agencies and the public, with a focus on riverine floods in large,…