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Alessio Spagnoletti

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
2025

LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization

ICCV 2025poster

Text-to-image latent diffusion models (LDMs) have recently emerged as powerful generative models with great potential for solving inverse problems in imaging. However, leveraging such models in a Plug & Play (PnP), zero-shot manner remains challenging because it requires identifying a suitable text…