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FlowGDA is proposed, a flow-matching framework that models gradual adaptation as continuous transport on a statistical manifold in a representation space and outperforms state-of-the-art techniques, validating flow matching as an effective alternative for domain adaptation.
Speculative Sampling is proposed, a strategy that combines the modeling power of large bidirectional windows with the low-latency interaction of small ones, opening a path to serving large bidirectional models in interactive streaming systems without complex streaming post-training.
Audio-driven avatar generation requires realistic lip-sync, expressive motion, and real-time streaming. Recent work achieves the latter via self-forcing with Distribution Matching Distillation (DMD), but this paradigm suffers from a critical failure that has not been systematically characterized: dynamic collapse, wher...
AeroAct is the first WAM instantiated and demonstrated for real-world aerial flight, and closed-loop simulation and real-world experiments show that temporal visual context improves target tracking and object-search performance, and that WAM-based policies can be executed on a physical quadrotor.
This work proposes EditBridge, a diffusion bridge framework for efficient ultra high-resolution editing that achieves high-fidelity editing with superior perceptual quality at resolutions up to 4K, delivering 3.6--8.4$\times$ speedup at 2K and enabling practical 4K editing in 61 seconds.
This work presents LiveAnimate, to their knowledge the first animation system to combine real-time streaming with stable long-form generation at billion scale, built on a 14B-parameter video Diffusion Transformer (DiT).
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