Pinned Repositories
3D-Gaussian-Splatting-Papers
3D高斯论文,持续更新,欢迎交流讨论。
APU-LDI
Code Release for AAAI 2024, "Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling"
Awesome-Learning-MVS
📑 A list of awesome learning-based multi-view stereo papers
colmap_3d_recon
🏡 Structure-from-Motion (SfM) and Multi-View Stereo (MVS)
FSGS
[ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang
GNN_Review
GNN综述阅读报告
LightGaussian
"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
shui-mu.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
vedo
A python module for scientific analysis of 3D data
shui-mu's Repositories
shui-mu/Awesome-Learning-MVS
📑 A list of awesome learning-based multi-view stereo papers
shui-mu/GNN_Review
GNN综述阅读报告
shui-mu/vedo
A python module for scientific analysis of 3D data
shui-mu/3D-Gaussian-Splatting-Papers
3D高斯论文,持续更新,欢迎交流讨论。
shui-mu/APU-LDI
Code Release for AAAI 2024, "Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling"
shui-mu/colmap_3d_recon
🏡 Structure-from-Motion (SfM) and Multi-View Stereo (MVS)
shui-mu/FSGS
[ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang
shui-mu/LightGaussian
"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
shui-mu/shui-mu.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
shui-mu/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
shui-mu/StableDiffusion-PyTorch
This repo implements a Stable Diffusion model in PyTorch with all the essential components.
shui-mu/tokenize-anything
Tokenize Anything via Prompting