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GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats
GigaSLAM is a groundbreaking monocular SLAM framework designed for kilometer-scale outdoor environments. It leverages hierarchical Gaussian splats and neural networks to achieve efficient, scalable mapping and high-fidelity rendering. This system addresses the challenges of large-scale tracking and mapping using only RGB input, extending the applicability of Gaussian Splatting SLAM to unbounded outdoor scenes.
LAM: Large Avatar Model for One-shot Animatable Gaussian Head
LAM is a cutting-edge project that enables the creation of ultra-realistic, animatable 3D avatars from just a single image in seconds. Leveraging advanced Gaussian Head technology, it offers super-fast cross-platform rendering and a low-latency SDK for real-time interactive chatting. This innovative model is set to be presented at SIGGRAPH 2025.