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title
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2026-03-06 11:12:02
raw text
SlotLifter SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields Yu Liu✶ 1,2 , Baoxiong Jia✶ 1 , Yixin Chen 1 , Siyuan Huang 1 ✶ indicates equal contribution 1 State Key Laboratory of General Artificial Intelligence, BIGAI 2 Tsinghua University ECCV 2024 Paper arXiv Code Abstract The ability to distill object-centric abstractions from intricate visual scenes underpins human-level generalization. Despite the significant progress in object-centric learning methods, learning object-centric representations in the 3D physical world remains a crucial challenge. In this work, we propose SlotLifter, a novel object-centric radiance model that aims to address the challenges of scene reconstruction and decomposition via slot-guided feature lifting. Such a design unites object-centric learning representations and image-based rendering methods, offering state-of-the-art performance in scene decom-position and...
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