1 citations · 1 across the 4 of their papers we have counts for
4 papers
SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model
Hala Djeghim, Nathan Piasco, Luis Roldão +4
Intrinsic image decomposition aims at separating an image into its underlying albedo and shading components, isolating the base color from lighting effects to enable downstream app…
Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models
Quentin Herau, Nathan Piasco, Moussab Bennehar +6
Autonomous driving systems rely on accurate perception and localization of the ego car to ensure safety and reliability in challenging real-world driving scenarios. Public datasets…
SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians
Hiba Dahmani, Moussab Bennehar, Nathan Piasco +2
Implicit neural representation methods have shown impressive advancements in learning 3D scenes from unstructured in-the-wild photo collections but are still limited by the large c…
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle, Stefano Sabatini, Dzmitry Tsishkou +1
Traffic simulation has gained a lot of interest for quantitative evaluation of self driving vehicles performance. In order for a simulator to be a valuable test bench, it is requir…