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Slot-RAE: Streamlining Object-Centric Learning via Direct Representation Auto-Encoders
Deploying object-centric models for real-world scene understanding typically requires complex pipelines to achieve both robust scene decomposition and high-fidelity generation. Recent diffusion-based approaches have improved visual quality, but they almost universally rely on heavy, pretrained gener
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