  We present a method that accelerates reconstruction of 3D scenes and objects,
aiming to enable instant reconstruction on edge devices such as mobile phones
and AR/VR headsets. While recent works have accelerated scene reconstruction
training to minute/second-level on high-end GPUs, there is still a large gap to
the goal of instant training on edge devices which is yet highly desired in
many emerging applications such as immersive AR/VR. To this end, this work aims
to further accelerate training by leveraging geometry priors of the target
scene. Our method proposes strategies to alleviate the noise of the imperfect
geometry priors to accelerate the training speed on top of the highly optimized
Instant-NGP. On the NeRF Synthetic dataset, our work uses half of the training
iterations to reach an average test PSNR of >30.
