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Valerie Gouet-Brunet

2 accepted papers

2026

Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?

ICLR 2026poster

Tri-Planar NeRFs enable the application of powerful 2D vision models for 3D tasks, by representing 3D objects using 2D planar structures. This has made them the prevailing choice to model large collections of 3D objects. However, training Tri-Planes to model such large collections is computationally…

Cited by 0SourcecodeScholar
2025

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

ICLR 2025poster

While pre-trained image autoencoders are increasingly utilized in computer vision, the application of inverse graphics in 2D latent spaces has been under-explored. Yet, besides reducing the training and rendering complexity, applying inverse graphics in the latent space enables a valuable interopera…