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LLMs can now understand and execute complex, semantic image edits from sparse drag inputs by inferring intended object-level transformations.
LAS2 redefines the balance between speed and accuracy in stereo matching, proving that efficient models can achieve state-of-the-art results without heavy computational demands.
Unlock real-time 4D scene understanding from monocular video with a novel "encode-once, query-anywhere and anytime" framework that jointly models geometry and motion.