most citedDisentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Generative Learning of Differentiable Object Models for Compositional Interpretation of Complex Scenes

Antoni Nowinowski, Krzysztof Krawiec

This study builds on the architecture of the Disentangler of Visual Priors (DVP), a type of autoencoder that learns to interpret scenes by decomposing the perceived objects into in…

cs.CV2024★ 2 cited

Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder

Krzysztof Krawiec, Antoni Nowinowski

Contemporary deep learning architectures lack principled means for capturing and handling fundamental visual concepts, like objects, shapes, geometric transforms, and other higher-…