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Object Scene Representation Transformer
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site name
author
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetić, Mario Lučić, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
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2026-02-20 15:10:47
raw text
Object Scene Representation Transformer Object Scene Representation Transformer Mehdi S. M. Sajjadi ‡, Daniel Duckworth *, Aravindh Mahendran *, Sjoerd van Steenkiste *, Filip Pavetić , Mario Lučić , Leonidas J. Guibas , Klaus Greff , Thomas Kipf * NeurIPS 2022 ‡correspondence to: osrt@msajjadi.com *equal technical contribution Paper Code Dataset Figure : OSRT is a 3D scene representation learning method that decomposes scenes into individual objects without supervision. A compositional understanding of the world in terms of objects and their geometry in 3D space is considered a cornerstone of human cognition. Facilitating the learning of such a representation in neural networks holds promise for substantially improving labeled data efficiency. As a key step in this direction, we make progress on the problem of learning 3D-consistent decompositions of complex scenes into individual objects in an unsupervi...
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