https://ramdi.fr/tags/3d-gaussian-splatting/Recent content in 3d-Gaussian-Splatting on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/gs-playground-high-throughput-photorealistic-simulation-for-vision-based-robot-learning/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/gs-playground-high-throughput-photorealistic-simulation-for-vision-based-robot-learning/GS-Playground combines 3D Gaussian Splatting rendering with a velocity-impulse physics engine to enable large-scale visual reinforcement learning at up to 10^4 FPS. Preview release with core simulation API and demos.https://ramdi.fr/github-stars/monogs-monocular-slam-with-3d-gaussian-splatting-for-real-time-dense-mapping-and-tracking/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/monogs-monocular-slam-with-3d-gaussian-splatting-for-real-time-dense-mapping-and-tracking/MonoGS rethinks monocular SLAM by replacing point-cloud maps with differentiable 3D Gaussian splatting, enabling real-time dense reconstruction and camera tracking in a unified pipeline.https://ramdi.fr/github-stars/inside-genie-sim-3-0-llm-driven-embodied-ai-simulation-with-high-fidelity-3d-scenes/Tue, 05 May 2026 16:46:42 +0000https://ramdi.fr/github-stars/inside-genie-sim-3-0-llm-driven-embodied-ai-simulation-with-high-fidelity-3d-scenes/Genie Sim 3.0 is an open-source platform combining 3D Gaussian Splatting and LLM-driven scene generation for embodied AI simulation, offering large-scale synthetic data and low sim-to-real discrepancy.https://ramdi.fr/github-stars/dimo-distilling-diverse-3d-motion-priors-for-arbitrary-object-motion-synthesis/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/dimo-distilling-diverse-3d-motion-priors-for-arbitrary-object-motion-synthesis/DIMO distills motion priors from text-conditioned and multi-view video models into a shared latent space, enabling diverse 3D motion generation for arbitrary objects using 3D Gaussian splatting and 4D rendering.