AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DOME-HDR is proposed, a dual-output multi-exposure HDR reconstruction framework that jointly produces a perceptually balanced SDR image and a consistent HDR image via gain map inverse tone mapping via gain map inverse tone mapping.
LIIFusion is proposed, a coarse-to-fine framework that balances fusion quality and efficiency in generative MEF and achieves up to 3.5$\times$ speed-up over existing generative methods while maintaining or improving structural fidelity and perceptual quality.
Experiments show that GUIDE improves robustness under targeted evidence perturbations and enables controllable modulation across diverse multimodal settings, suggesting that multimodal instruction following can extend beyond output control toward regulating how different evidence sources contribute to model predictions...
FiLoRA is introduced, an instruction-conditioned, parameter-efficient adaptation framework that enables controllable modulation of feature reliance while keeping the task and predictive objective fixed and suggests that instruction-conditioned parameter adaptation can serve as a practical mechanism for intervening on i...
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