2 citations · 2 across the 5 of their papers we have counts for
5 papers
HDR Video Generation via Latent Alignment with Logarithmic Encoding
Naomi Ken Korem, Mohamed Oumoumad, Harel Cain +8
High dynamic range (HDR) imagery offers a rich and faithful representation of scene radiance, but remains challenging for generative models due to its mismatch with the bounded, pe…
AVControl: Efficient Framework for Training Audio-Visual Controls
Matan Ben-Yosef, Tavi Halperin, Naomi Ken Korem +6
Controlling video and audio generation requires diverse modalities, from depth and pose to camera trajectories and audio transformations, yet existing approaches either train a sin…
LTX-2: Efficient Joint Audio-Visual Foundation Model
Yoav HaCohen, Benny Brazowski, Nisan Chiprut +26
Recent text-to-video diffusion models can generate compelling video sequences, yet they remain silent -- missing the semantic, emotional, and atmospheric cues that audio provides.…
JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion
Anthony Chen, Naomi Ken Korem, Gal Zeevi +6
Audio-Visual Foundation Models, which are pretrained to jointly generate sound and visual content, have recently shown an unprecedented ability to model multi-modal generation and…
LTX-Video: Realtime Video Latent Diffusion
Yoav HaCohen, Nisan Chiprut, Benny Brazowski +13
We introduce LTX-Video, a transformer-based latent diffusion model that adopts a holistic approach to video generation by seamlessly integrating the responsibilities of the Video-V…