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A review of researches that explore test-time scaling for diffusion models.
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A review of Oasis: A Universe in a transformer, and Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
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A review of papers that add controllabilities to video generation (DragNUWA and Boximator)
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Elucidating the Design Space of Diffusion-Based Generative Models, focusing on the rationale behind its engineering details.
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DDPM and score-based SDEs as two routes to reverse diffusion, contrasting their shared structure and modeling differences.