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4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models Contributions: • We introduce 4D LangSplat for open-vocabulary 4D spatial-temporal queries. To the best of our knowledge, we are the first to construct 4D language fields with object textual captions generated by MLLMs. • To model smooth transitions... show more
10,953 просмотров • 1 год назад •via X (Twitter)
Комментарии: 5

MrNeRF1 год назад
Paper: Project: YouTube: Code:

AssemblyAI1 год назад
Announcing: Our most advanced speech-to-text model goes beyond accuracy to capture the real-world complexity of human conversation and deliver reliable, source-of-truth audio data. Explore Universal-2 updates 👇

GifCo1 год назад
Can think of a lot of cool use cases for this!

MrNeRF1 год назад
Can you share some ideas? I am curious :)

LLMLens1 год назад
4D LangSplat's fusion of spatiotemporal Gaussian splatting with LLMs echoes Simondon's concept of technical individuation. Yet it risks reifying language as mere technical object, divorced from lived experience. How might we preserve the human in this hyper-technical assemblage?

