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20242026
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cs.CV2026

LiveSVG: Zero-Shot SVG Animation via Video Generation

Matan Levy, Ran Margolin, Bar Cavia +6

We introduce LiveSVG, a zero-shot approach for generating Scalable Vector Graphics (SVG) animations using video diffusion models. Current SVG animation methods struggle with comple…

cs.CV2026

Retrieval-Augmented Gaussian Avatars: Improving Expression Generalization

Matan Levy, Gavriel Habib, Issar Tzachor +5

Template-free animatable head avatars can achieve high visual fidelity by learning expression-dependent facial deformation directly from a subject's capture, avoiding parametric fa…

cs.CV2026

Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention

Dvir Samuel, Issar Tzachor, Matan Levy +3

Autoregressive video diffusion models enable streaming generation, opening the door to long-form synthesis, video world models, and interactive neural game engines. However, their…

cs.CV2025

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

David Dinkevich, Matan Levy, Omri Avrahami +2

We present Story2Board, a training-free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key a…

cs.CV2025

OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models

Dvir Samuel, Matan Levy, Nir Darshan +2

In Omnimatte, one aims to decompose a given video into semantically meaningful layers, including the background and individual objects along with their associated effects, such as…

cs.CV2025

Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization

Michael Green, Matan Levy, Issar Tzachor +3

We address the challenge of Small Object Image Retrieval (SoIR), where the goal is to retrieve images containing a specific small object, in a cluttered scene. The key challenge in…