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Zhejiang Uni- versity
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MFD reduces noise and boosts stability in flow matching models, achieving state-of-the-art results in challenging generative tasks.
Stop hand-crafting pseudo-labels: this framework learns to generate and select them for semi-supervised segmentation, boosting performance on RefCOCO, RefCOCO+, and RefCOCOg.
Forget prompt-to-paper pipelines – Claw AI Lab lets you spin up an entire autonomous, collaborative research team from a single prompt, complete with real-time monitoring and artifact inspection.
Radically improve streaming 3D reconstruction by intelligently merging moderately important tokens instead of simply evicting them, leading to state-of-the-art accuracy.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
