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Aligning teacher supervision with causal constraints leads to state-of-the-art performance in autoregressive video generation.
Pretrained register tokens can revolutionize RGB-IR object detection by enabling efficient cross-modal communication without sacrificing performance.
Bidirectional optimization in DRPFNet leads to superior object localization by effectively merging RGB high-frequency edges with thermal low-frequency structures.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
