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TZID:Europe/Paris
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UID:8899@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20260511T140000
DTEND;TZID=Europe/Paris:20260511T150000
DTSTAMP:20260415T063147Z
URL:https://www.i2m.univ-amu.fr/evenements/seminaire-de-segolene-martin/
SUMMARY:Ségolène Martin (TU Berlin): Flow Matching for Imaging Inverse Pr
 oblems
DESCRIPTION:Ségolène Martin: We begin this talk with an introduction to g
 enerative modeling for image synthesis. Starting from discrete normalizing
  flows\, we move to continuous normalizing flows and finally to flow match
 ing. We clarify these approaches\, highlighting their specificities\, limi
 tations\, and provide simple implementation insights. We also discuss thei
 r connections with diffusion models.\n\nIn the second part\, we explore ho
 w these models can be used to solve linear inverse problems in imaging\, s
 uch as image inpainting\, deblurring\, and super-resolution. We emphasize 
 the connections between flow matching and denoising\, and show how these l
 inks can be leveraged within the Plug-and-Play (PnP) framework to address 
 inverse problems.
CATEGORIES:Séminaire,Statistique
LOCATION:Saint-Charles - FRUMAM  (2ème étage)\, 3 Place Victor Hugo\, Mar
 seille\, 13003\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=3 Place Victor Hugo\, Marse
 ille\, 13003\, France;X-APPLE-RADIUS=100;X-TITLE=Saint-Charles - FRUMAM  (
 2ème étage):geo:0,0
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TZID:Europe/Paris
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DTSTART:20260329T030000
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