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cs.CV2024
RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
Bingling Li, Shengyi Chen, Luchao Wang +3
In this work, we explore the possibility of training high-parameter 3D Gaussian splatting (3DGS) models on large-scale, high-resolution datasets. We design a general model parallel…
cs.CL2024
A Full-duplex Speech Dialogue Scheme Based On Large Language Models
Peng Wang, Songshuo Lu, Yaohua Tang +3
We present a generative dialogue system capable of operating in a full-duplex manner, allowing for seamless interaction. It is based on a large language model (LLM) carefully align…