# Clone the repo git clone https://github.com/google/mipnerf.git; cd mipnerf # Create a conda environment, note you can use python 3.6-3.8 as # one of the dependencies (TensorFlow) hasn't supported python 3.9 yet. conda create --name mipnerf python=3.6.13; conda activate mipnerf #...
A re-implementation of mip-NeRF in PyTorch. Contribute to bebeal/mipnerf-pytorch development by creating an account on GitHub.
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron1 Ben Mildenhall1 Dor Verbin1,2 Pratul P. Srinivasan1 Peter Hedman1 1Google 2Harvard University Abstract Though neural radiance fields (NeRF) have demon- strated impressive view synthesis result...
code: https://github.com/ashawkey/nerf2mesh Summary NeRF2Mesh这篇文章的目标是从NERF的场景模型中恢复出精细的Mesh模型,并且保持高质量的渲染效果。个人感觉这篇文章的Introduction介绍的背景相关还是挺全面的,基于SDF生成的mesh虽然表面准确,但大概率会over-smoothed,且不保证渲染质量,NERF虽然能够渲染出高质量的新...
作者回答说,「我们已经可以在浏览器 (http://nerf.live) 或桌面GPU(https://nvlabs.github.io/instant-ngp/) 上实时渲染 NeRF,所以把它放到 VR 头盔上应该是可行的。」 论文概览 神经辐射场 (NeRF) 通过在基于坐标的多层感知器 (MLP) 的权重内编码场景的体积密度和颜色,来合成高度逼真的场景渲染。这种方法...
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Supplemental Materials Jonathan T. Barron1 Ben Mildenhall1 Dor Verbin1,2 Pratul P. Srinivasan1 Peter Hedman1 1Google 2Harvard University 1. Additional Model Details Our model contains some small components not dis- cussed in t...
作者回答说,「我们已经可以在浏览器 (http://nerf.live) 或桌面 GPU (https://nvlabs.github.io/instant-ngp/) 上实时渲染 NeRF,所以把它放到 VR 头盔上应该是可行的。」 论文概览 神经辐射场 (NeRF) 通过在基于坐标的多层感知器 (MLP) 的权重内编码场景的体积密度和颜色,来合成高度逼真的场景渲染。这种方...
renaissanceee/mipmap-gsofficial 28 Datasets NeRFMip-NeRF 360 Results from the Paper Edit Submitresults from this paperto get state-of-the-art GitHub badges and help the community compare results to other papers. Methods Edit AddRemove NeRF...
I run "python python_scripts/run_mipnerf360.py" on scene "garden" in mip-nerf360 dataset. And the color of gaussians looks strange and PSNR is about 6-7.Owner HLinChen commented Oct 12, 2024 I trained the scene with the code just now. And the PSNR is about 26. This is my ...
# Clone the repo. git clone https://github.com/google-research/multinerf.git cd multinerf # Make a conda environment. conda create --name multinerf python=3.9 conda activate multinerf # Prepare pip. conda install pip pip install --upgrade pip # Install requirements. pip install -r requirem...