| Title | ActiveNeRF |
|---|---|
| Author | Pan, Xuran and Lai, Zihang and Song, Shiji and Huang, Gao |
| Conf/Jour | ECCV |
| Year | 2022 |
| Project | LeapLabTHU/ActiveNeRF: Official repository of ActiveNeRF (ECCV2022) |
| Paper | ActiveNeRF: Learning where to See with Uncertainty Estimation |
Sources of Uncertainty in 3D Scene Reconstruction
| Title | Sources of Uncertainty in 3D Scene Reconstruction |
|---|---|
| Author | Marcus Klasson and Riccardo Mereu and Juho Kannala and Arno Solin |
| Conf/Jour | ECCV Workshop on Uncertainty Quantification for Computer Vision. |
| Year | 2024 |
| Project | AaltoML/uncertainty-nerf-gs: Code release for the paper “Sources of Uncertainty in 3D Scene Reconstruction” |
| Paper | Sources of Uncertainty in 3D Scene Reconstruction |
Structural Dynamics
Structural Dynamics Basic Knowledge.
mdof provides fast and friendly system identification for structures.
Data Analysis
数据降维/
sklearn | numpy | pandas
seaborn | matplotlib
Time Series Data
Time Series Data
- Generation
- Classification
- ……
Code of Multi-view 3D Reconstruction based on SDF and volume rendering
论文代码复现(Linux OS)
Learning-based Multi-View Stereo: A Survey
| Title | Learning-based Multi-View Stereo A Survey |
|---|---|
| Author | Fangjinhua Wang†, Qingtian Zhu, Di Chang*, Quankai Gao, Junlin Han, Tong Zhang, Richard Hartley, Fellow, IEEE, Marc Pollefeys, Fellow, IEEE |
| Conf/Jour | |
| Year | 2024 |
| Project | |
| Paper | Learning-based Multi-View Stereo: A Survey |
Visualize Interval uncertainty quantification metrics
使用Pygame可视化区间UQ指标
Finite Element Model 3D Reconstruction
通过多视图三维重建获得三维模型，用于有限元分析/工业设计指导
Unpack Game File (Snowbreak)
Anime Image 3D Reconstruction
Loss Functions
Loss Functions and Metrics in Deep Learning 这篇Review中提到的loss函数比较全面
Loss Functions vs. Performance Metrics
损失函数在训练过程中用于优化模型参数。它衡量的是模型预测输出与预期输出之间的差值，而训练的目标就是尽量减小这一差值。(可微)
性能指标用于评估训练后的模型。它衡量的是模型对新数据的泛化程度以及预测的准确性。性能指标还可以对不同的模型或配置进行比较，以确定性能最佳的模型或配置。(不需要可微)
Finite Element Learning Note
Basic of Finite Element Analysis
Nastran by python
Python—> Nastran
使用PyNastran库对 Patran&Nastran有限元分析软件进行二次开发，可以自动对目标模型进行有限元分析
Concrete spalling damage detection and seismic performance evaluation for RC shear walls via 3D reconstruction technique and numerical model updating
| Title | Concrete spalling damage detection and seismic performance evaluation for RC shear walls via 3D reconstruction technique and numerical model updating |
|---|---|
| Author | Weihang Gao; Caiyan Zhang; Xilin Lu; Wensheng Lu |
| Conf/Jour | Automation in Construction |
| Year | 2023 |
| Project | Concrete spalling damage detection and seismic performance evaluation for RC shear walls via 3D reconstruction technique and numerical model updating - ScienceDirect |
| Paper |
3D reconstruction+Numerical model updating
Learn-Matlab
Matlab
Gaustudio
| Title | GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond |
|---|---|
| Author | Chongjie Ye1,2∗, Yinyu Nie3∗, Jiahao Chang1, 2∗, Yuantao Chen2, Yihao Zhi1,2, Xiaoguang Han2,1† |
| Conf/Jour | |
| Year | 2024 |
| Project | GAP-LAB-CUHK-SZ/gaustudio: A Modular Framework for 3D Gaussian Splatting and Beyond |
| Paper | GauStudio-v1.pdf - Google 云端硬盘 |
