Computer Vision
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Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
A novel IG-AE that creates a 3D-aware latent space compatible with Neural Radiance Fields This Research Card introduces a novel Inverse Graphics Autoencoder (IG-AE) that creates a 3D-aware latent space compatible with Neural Radiance Fields (NeRFs), enabling efficient 3D object reconstruction from 2D images and facilitating high-quality 3D ads. Title: Bringing NeRFs to the Latent Space:…
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Research Card: Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes
Paper: Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous ScenesAuthors : Antoine Schnepf (Criteo AI Lab), Karim Kassab (Criteo AI Lab), Jean-Yves Franceschi (Criteo AI Lab), Laurent Caraffa, Flavian Vasile (Criteo AI Lab), Jeremie Mary (Criteo AI Lab), Andrew Comport, Valérie Gouet-BrunetCategory: Deep Learning, Computer vision, 3DRevue: CVPR 2024 3DMV Workshop Why did we work on…
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Advent of Code 2023 — Sharing our experiences
In Criteo, we are passionate experts, but there is always more to learn. That passion motivates us to participate actively in code challenges such as Advent of Code. Also, this year, we decided to support the initiative by becoming a sponsor. That definitely boosted our participation and the involvement of our Criteos. Join us along…