{"id":"2509.07021","title":"MEGS$^{2}$: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning","url":"https://codeofpaper.com/paper/2509.07021","arxiv_url":"https://arxiv.org/abs/2509.07021","published":"2025-09-07","code":"community","best":{"full_name":"IGL-HKUST/MEGS-2","url":"https://github.com/IGL-HKUST/MEGS-2","tier":"high_confidence_community","stars":58,"license":"MIT","framework":null,"language":"Cuda","last_commit":"2026-02-08T02:37:20"},"most_starred_community":null,"implementations":[{"full_name":"IGL-HKUST/MEGS-2","url":"https://github.com/IGL-HKUST/MEGS-2","tier":"high_confidence_community","stars":58,"license":"MIT","framework":null,"language":"Cuda","last_commit":"2026-02-08T02:37:20"}],"possible_matches":0}