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Local-GS achieves a staggering 7.76x speedup in 3D Gaussian Splatting without sacrificing quality, revolutionizing real-time novel view synthesis.
Achieve state-of-the-art 6D object pose estimation with 43x speedup by combining mask-aware pose proposals with amodal-driven refinement.
Noisy multimodal preference datasets are holding back reward model performance, but DT2IT-MRM offers a scalable curation strategy that achieves state-of-the-art results.
