git clone https://github.com/kwea123/ngp_pl 创建并激活虚拟环境 conda create -n ngp_pl python=3.8 conda activate ngp_pl 安装pytorch包 pip install torch==1.11.0 torchvision==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113 从这里可知等下的cuda得要11.3版本 1.安装torch-scat...
https://github.com/NVlabs/instant-ngpgithub.com/NVlabs/instant-ngp Instant-ngp是NVlabs发表在SIGGRAPH22的工作,在nerf方向效果非常好,速度也很快。 这个工作基本基于cuda实现的,没有使用PyTorch的框架,因此给阅读代码带来了困难。网上没有很好的代码解读,因此计划自己写一个。 安装&编译 默认需要读源代码的同学...
ngp_pl Advertisement: Check out the latest integrated projectnerfstudio! There are a lot of recent improvements on nerf related methods, including instant-ngp! Instant-ngp (only NeRF) in pytorch+cuda trained with pytorch-lightning (high quality with high speed). This repo aims at providing a ...
NGP_from_scratch This is a pytorch implementation of paper Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. If you are good at learning concepts from code, this repo is for you! The codebase is intentionally simplified to facilitate better understanding of the core concepts...
我们注意到,随着NeRF训练速度的提升,框架的运行速度成为了限制NeRF速度进一步提升的瓶颈,近期有的工作(如Plenoxel)通过大量修改Pytorch源码才实现快速训练,而Instant-NGP则更是直接使用Cuda来达到速度的极致追求。得益于Jittor的速度优势,JNeRF可以直接轻松地使用Jittor框架完成Instant-NGP的复现。
taichi本身只是一个深度学习工具，他们经常会复现各种各样的cv工作。但现在主流都是pytorch或者TensorFlow...
这里复现用的项目原文件是出自 AI葵酱 ，感谢葵酱！kwea123/ngp_pl: Instant-ngp in pytorch+cuda ...
torch-ngpA pytorch implementation of instant-ngp, as described in Instant Neural Graphics Primitives with a Multiresolution Hash Encoding.With the CUDA ray marching option for NeRF, for the fox dataset, we can:converge to a reasonable result in ~1min (50 epochs). render a 1920x1080 image in...
Projects Security Insights Additional navigation options main 1Branch0Tags Code README MIT license [CVPR'24] CNC Official Pytorch implementation ofHar Far Can We Compress Instant-NGP-Based NeRF?. Significant compression ratio of 100X based on Instant-NGP!
pytorch版本的nerf：https://github.com/yenchenlin/nerf-pytorch先从最原版的nerf代码入手，但原文用...