arXiv (OAI Expanded)
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SlotDiT: Object-Centric Representations for Diffusion Transformers
Text-conditioned latent diffusion models perform strongly in video generation and are promising backbones for robotic applications. However, existing approaches rely on pixel-level or VAE-based latent representations that lack explicit semantic structure, leaving the impact of the representation spa
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