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Showing papers from Ecole polytechnique, IP Paris Show all papers

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NeurIPS 2026University Paris SaclayEcole polytechnique, IP ParisTélécom ParisUniversité Paris-SaclayVideo generation

AR-Edit: Training-Free Streaming Video Editing without Inversion

Hovhannes Margaryan, Vicky Kalogeiton, Quentin Bammey, Christian Sandor

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Institut Polytechnique de ParisEcole Nationale Supérieure de TeHi! PARISÉcole PolytechniqueDoctolibVideo generation

FakeParts: a New Family of AI-Generated Video Forgeries

Ziyi LIU, Firas Gabetni, Awais H SANI, Xi Wang and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026École Polytechnique - Ecole des École PolytechniqueÉcole nationale des ponts et chaUC BerkeleyENPCFlow matching

Balancing Frequencies and Pixels in Flow Matching

Focal log-frequency loss balances spectral learning signals in flow matching, accelerating convergence by 40% and improving image fidelity without architectural changes.

Lucas Degeorge, Paul Couairon, Arijit Ghosh, Alexei Efros and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5