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20212026
most citedTowards image compression with perfect realism at ultra-low bitrates

8 citations · 12 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

PrivacyGAN: robust generative image privacy

Mariia Zameshina, Marlene Careil, Olivier Teytaud +1

Classical techniques for protecting facial image privacy typically fall into two categories: data-poisoning methods, exemplified by Fawkes, which introduce subtle perturbations to…

cs.CV2023★ 8 cited

Towards image compression with perfect realism at ultra-low bitrates

Marlène Careil, Matthew J. Muckley, Jakob Verbeek +1

Image codecs are typically optimized to trade-off bitrate \vs distortion metrics. At low bitrates, this leads to compression artefacts which are easily perceptible, even when train…

cs.CV2023

Zero-shot spatial layout conditioning for text-to-image diffusion models

Guillaume Couairon, Marlène Careil, Matthieu Cord +2

Large-scale text-to-image diffusion models have significantly improved the state of the art in generative image modelling and allow for an intuitive and powerful user interface to…

cs.CV2023★ 1 cited

Controllable Image Generation via Collage Representations

Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano +3

Recent advances in conditional generative image models have enabled impressive results. On the one hand, text-based conditional models have achieved remarkable generation quality,…

cs.CV2023

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Marlène Careil, Jakob Verbeek, Stéphane Lathuilière

Semantic image synthesis aims to generate photo realistic images given a semantic segmentation map. Despite much recent progress, training them still requires large datasets of ima…