Jan. 8, 2024, 12:28 a.m. | Synced

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In a new paper LangSplat: 3D Language Gaussian Splattin, a research team from Tsinghua University and Harvard University introduces LangSplat, a groundbreaking 3D Gaussian Splatting-based method designed for 3D language fields, which surpasses the state-of-the-art LERF method while boasting a remarkable speed improvement of 199 times.


The post LangSplat: Turbocharging 3D Language Fields with a Mind-Blowing 199x Speed Boost first appeared on Synced.

ai art artificial intelligence boost deep-neural-networks fields groundbreaking harvard harvard university improvement language machine learning machine learning & data science mind ml nature language tech paper research research team speed state team technology tsinghua university university

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