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Oscar Mañas

Mila;Université de Montréal;Meta

11 papers hereh-index 7937 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author6

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.LG1
  • eess.IV1
affiliations
  • Mila;Université de Montréal;Meta
HomepageORCID 0000-0001-5512-7664

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedAn Introduction to Vision-Language Modeling

37 citations · 57 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

EvalGIM: A Library for Evaluating Generative Image Models

Melissa Hall, Oscar Mañas, Reyhane Askari-Hemmat +14

As the use of text-to-image generative models increases, so does the adoption of automatic benchmarking methods used in their evaluation. However, while metrics and datasets abound…

cs.CV2024★ 3 cited

Consistency-diversity-realism Pareto fronts of conditional image generative models

Pietro Astolfi, Marlene Careil, Melissa Hall +5

Building world models that accurately and comprehensively represent the real world is the utmost aspiration for conditional image generative models as it would enable their use as…

cs.LG2024★ 37 cited

An Introduction to Vision-Language Modeling

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay +38

Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them to the visual domain. From having a visual assistant that could guid…

cs.CV2024★ 6 cited

Improving Text-to-Image Consistency via Automatic Prompt Optimization

Oscar Mañas, Pietro Astolfi, Melissa Hall +6

Impressive advances in text-to-image (T2I) generative models have yielded a plethora of high performing models which are able to generate aesthetically appealing, photorealistic im…

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