Pinned Repositories
pixelsplat
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
awesome-NeRF
A curated list of awesome neural radiance fields papers
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
dataProcessor
中英文语料数据清洗及分布式分句分词预处理工作
GNNPapers
Must-read papers on graph neural networks (GNN)
Machine-Learning-Session
pixelsplat
[CVPR 2024 Oral] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann.
shx.github.io
SongHaixu's Repositories
SongHaixu/awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
SongHaixu/awesome-NeRF
A curated list of awesome neural radiance fields papers
SongHaixu/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
SongHaixu/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
SongHaixu/dataProcessor
中英文语料数据清洗及分布式分句分词预处理工作
SongHaixu/GNNPapers
Must-read papers on graph neural networks (GNN)
SongHaixu/Machine-Learning-Session
SongHaixu/pixelsplat
[CVPR 2024 Oral] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann.
SongHaixu/shx.github.io