Arantxa Casanova
@arcp_8
Research Scientist at Meta, Generative AI
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Check out our recent work "Instance-Conditioned GAN", a joint work with Marlene Careil, Jakob Verbeek, @adri_romsor and @michal_drozdzal. We can generate images of unfamiliar scenes, such as camels in the snow! Check out the details, paper and code in the blog post.
We’ve built a new image generation model called Instance-Conditioned GAN. Unlike traditional GANs, IC-GANs can create high-quality images of entirely unfamiliar objects and scenes that aren’t part of the model’s training data. Code+ details: ai.facebook.com/blog/instance-…
I am looking for PhD students for a 2024 summer internship at Meta in Generative AI: metacareers.com/jobs/175996402… Specially relevant if interested in improving controllability and expressivity of image generative models, and want to work on challenging, domain-specific problems.
We are looking to hire FAIR research interns (current PhD students) in 2022. Previous works led by students: arxiv.org/abs/1812.06164, arxiv.org/abs/1902.03051, arxiv.org/abs/2007.03778, arxiv.org/abs/2109.05070, arxiv.org/abs/2110.13100. DM me or @michal_drozdzal with bio and CV.
A demo of Instance-Conditioned GAN by @arcp_8 et al at @facebookai. It can generate images in a style of another image and can be conditioned by a class to alter the image. replicate.ai/arantxacasanov…
replicate.com
meta/ic_gan – Replicate
Instance-Conditioned GAN
We’ve built a new image generation model called Instance-Conditioned GAN. Unlike traditional GANs, IC-GANs can create high-quality images of entirely unfamiliar objects and scenes that aren’t part of the model’s training data. Code+ details: ai.facebook.com/blog/instance-…
Check out our work on *Reinforced active learning for semantic segmentation* @iclr_conf presented by @arcp_8 Thursday 13:00-15:00 and 16:00-18:00 EDT - Paper: arxiv.org/pdf/2002.06583… - Poster & slides: iclr.cc/virtual/poster… - Code:github.com/ArantxaCasanov…
Arantxa Casanova from @MILAMontreal presenting her work on iterative refinement of densely connected representation levels for semantic segmentation at #WiCV18 #CVPR18.
@arcp_8 from @element_ai presenting her work from @MILAMontreal at #wad at #cvpr18
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