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NeurIPS 2026IMAGINE - ENPCU BordeauxENPC ParisTechSelf-supervised vision

Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison

Gekko uses relative reconstruction error between cross-view and masked-autoencoder predictions as a self-supervised co-visibility proxy, adding binocular training signals that consistently outperform CroCo on 3D vision tasks while training directly from raw video.

Thibaut Loiseau, Guillaume Bourmaud, Vincent Lepetit

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 2/5
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NeurIPS 2026U BordeauxCNRSImage restoration

i-DEQ: A stable inertial Deep Equilibrium model for image restoration

i-DEQ uses momentum in deep equilibrium fixed-point iterations for stable, accelerated image restoration with convergence guarantees and twofold faster inference.

Antonin Clerc, Marien Renaud, Baudouin Denis de Senneville, Nicolas Papadakis

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5