collaborators

5 papers

cs.CV2026

Human detectors are surprisingly powerful reward models

Kumar Ashutosh, XuDong Wang, Xi Yin +4

Video generation models have recently achieved impressive visual fidelity and temporal coherence. Yet, they continue to struggle with complex, non-rigid motions, especially when sy…

cs.CL2025

DM-Codec: Distilling Multimodal Representations for Speech Tokenization

Md Mubtasim Ahasan, Md Fahim, Tasnim Mohiuddin +6

Recent advancements in speech-language models have yielded significant improvements in speech tokenization and synthesis. However, effectively mapping the complex, multidimensional…

cs.CV2025

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Hila Chefer, Uriel Singer, Amit Zohar +5

Despite tremendous recent progress, generative video models still struggle to capture real-world motion, dynamics, and physics. We show that this limitation arises from the convent…

cs.CV2025

Movie Gen: A Cast of Media Foundation Models

Adam Polyak, Amit Zohar, Andrew Brown +85

We present Movie Gen, a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. We also show additional capabili…

cs.CV2025

Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation

Guy Yariv, Yuval Kirstain, Amit Zohar +5

We consider the task of Image-to-Video (I2V) generation, which involves transforming static images into realistic video sequences based on a textual description. While recent advan…