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Video diffusion models increasingly serve as priors for 4D generation, but the generated videos often lack geometric consistency. Recent approaches address this through post-training by designing geometric rewards, yet this can degrade texture and fine detail, requiring auxiliary appearance rewards and careful reward b...
FlowLong is presented, a training-free, architecture-agnostic, inference-time framework that harmonizes overlapping windows sampled in parallel via Tweedie matching, a manifold-constrained blend of predicted clean samples on overlaps, and stochastic early-phase sampling that yields arbitrarily long, phase-locked audio-...
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