# Interesting papers ## Qwen3  ## LiteGS - https://github.com/MooreThreads/LiteGS - 모듈러한 설계로 리팩토링한 Gaussian Splatting - 기존 코드에 비해 3.5배 빠름!!  ## GenZ ICP - https://github.com/ali-pahlevani/GenZ_ICP_Optimized - Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting - CPU 사용량을 줄이고, 전체 속도의 20-50% 속도 개선  ## MambaGlue - Fast and Robust Local Feature Matching With Mamba - MambaAttention + Deep score regressor - https://github.com/url-kaist/MambaGlue  ## OpenLiDARMap - Zero-Drift Point Cloud Mapping using Map Priors - reference maps (e.g., using 2000–2023 aerial data for 2011 sequences) - scan-to-scan and scan-to-map ICP matching using robust kernels (Tukey & Cauchy) for drift mitigation ) <img width="714" alt="Image" src="https://github.com/user-attachments/assets/ef92ebbf-6494-4f07-936c-d08f0f7ce179" />