activity
20242026
most citedStill-Moving: Customized Video Generation without Customized Video Data

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.SD2026

SepGen: Multi-Stem Audio-Video Separation and Generation in a Single Model

Aviad Dahan, Rajaei Khatib, Yonatan Bitton +3

A 4D audio-visual scene comprises a video, the dynamic geometry it depicts, and the sound sources that populate it, each with its own position and trajectory. Rendering such a scen…

cs.CV2026

SemCam: Semantic Camera Motion Control for Video Generation

Janna Bruner, Omer Talmi, Ianir Ideses +3

Controlling the camera relative to a moving subject in an existing video is challenging: behaviors such as maintaining a frontal view require the camera to adapt to the subject's c…

cs.CV2026

Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching

Yoad Tewel, Yuval Atzmon, Gal Chechik +1

Modern generative models possess a deep understanding of visual content, yet training them for image editing typically requires massive datasets of paired examples. This limits sca…

cs.CV2026

Compositional Video Generation via Inference-Time Guidance

Ariel Shaulov, Eitan Shaar, Amit Edenzon +2

Text-to-video diffusion models generate realistic videos, but often fail on prompts requiring fine-grained compositional understanding, such as relations between entities, attribut…

cs.SD2026

ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA

Aviad Dahan, Moran Yanuka, Noa Kraicer +2

Existing video personalization methods preserve visual likeness but treat video and audio separately. Without access to the visual scene, audio models cannot synchronize sounds wit…