Aviad
Dahan

I am a PhD student in Electrical Engineering at Tel Aviv University, advised by Prof. Raja Giryes and Prof. Lior Wolf, where I build generative systems for audiovisual creation.

I work on generative AI for multimodal audio-video generation and editing—models that can preserve identity, steer motion, and reshape visual stories.

My research spans personalized audiovisual generation, temporally coherent video models, and image editing. I am also interested in adapting foundation models to high-stakes visual domains, including medical image segmentation.

Publications

ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA Aviad Dahan*, Moran Yanuka*, Noa Kraicer, Lior Wolf, Raja Giryes European Conference on Computer Vision (ECCV), 2026

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Consistent Zero-Shot Video Editing with Multimodal Feature Flow Aviad Dahan, Eyal Gomel, Lior Wolf, Raja Giryes IEEE Open Journal of Signal Processing, 2026 · Oral at ICIP 2026

Paper DOI ResearchGate

LiteAttention: A Temporal Sparse Attention for Diffusion Transformers Dor Shmilovich, Tony Wu, Aviad Dahan, Yuval Domb arXiv preprint, 2025

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Video Polyp Segmentation using Implicit Networks Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf Medical Imaging with Deep Learning (MIDL), 2024

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AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf British Machine Vision Conference (BMVC), 2023

arXiv Code