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Andres Almansa

2 accepted papers

2026

LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration

ICLR 2026poster

Computational imaging methods increasingly rely on powerful generative diffusion models to tackle challenging image restoration tasks. In particular, state-of-the-art zero-shot image inverse solvers leverage distilled text-to-image latent diffusion models (LDMs) to achieve unprecedented accuracy and…

Cited by 0SourcecodeScholar
2024

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

ICLR 2024poster

Posterior sampling has been shown to be a powerful Bayesian approach for solving imaging inverse problems. The recent plug-and-play unadjusted Langevin algorithm (PnP-ULA) has emerged as a promising method for Monte Carlo sampling and minimum mean squared error (MMSE) estimation by combining physica…