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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...

10,953 просмотров • 1 год назад •via X (Twitter)

Комментарии: 5

Фото профиля MrNeRF
MrNeRF1 год назад

Paper: Project: YouTube: Code:

Фото профиля AssemblyAI
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 👇

Фото профиля GifCo
GifCo1 год назад

Can think of a lot of cool use cases for this!

Фото профиля MrNeRF
MrNeRF1 год назад

Can you share some ideas? I am curious :)

Фото профиля LLMLens
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?

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