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This work proposes Tri-DehazeGS, a scene--medium decoupled Gaussian Splatting framework, which represents the clean scene with Gaussian primitives, models the participating medium using an independent view-shared tri-plane field, and composes hazy observations through a physical scattering model.
RedEvoAgent evolves red-teaming skills in real-time, outpacing traditional methods and enhancing safety against sophisticated LLM threats.
Compass achieves state-of-the-art crack segmentation performance even with 90% of the depth modality missing, all while using only 2.58M parameters.
CoRA achieves effective task-conditioned retrieval on-device without the need for retriever fine-tuning or backpropagation, revolutionizing how we approach in-context learning.