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National Yang Ming Chiao Tung University
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Pixel-aligned training data is no longer a prerequisite for clinical-grade ultrasound super-resolution, achieving a 16.7% FID improvement by pairing cycle-consistent degradation synthesis with degradation-conditioned LoRA.
Video generative priors only translate into robust physical control when paired with explicit world-to-action information routing and synchronized joint denoising rather than standard monolithic fine-tuning.
Unified image restoration methods can now be rigorously compared across real-world conditions, with 20 teams showcasing innovative solutions that push the boundaries of restoration accuracy.
IOI achieves state-of-the-art simulation performance by decoupling deterministic motion from stochastic physical interactions, enabling robust zero-shot generalization to unseen tasks.
Models with similar success rates can exhibit vastly different strengths and weaknesses, revealing the hidden complexities of mobile manipulation capabilities.