3d-gaussian-splatting-fce037df·4 events·first seen Aliases: 3D Gaussian Splatting, Gaussian Splatting
Researchers present World from Motion, a method that generates freely renderable dynamic 3D Gaussian Splatting (3DGS) representations from monocular video by conditioning a video model on pixel-aligned renderings encoding appearance, geometry, and 3D scene motion. The approach trains on aligned multiview video pairs with simulated monocular reconstruction artifacts, then distills model generations back into a consistent dynamic 3DGS at test time. The method claims state-of-the-art results in 4D reconstruction and generalizes to in-the-wild videos with large viewpoint changes and dynamic content.
Researchers introduce a pipeline that generates 48,000 paired vision-language-kinematics trajectories synthetically using 3D Gaussian Splatting to reconstruct indoor scenes, bypassing the need for expensive human-annotated robot data. A VLK policy trained on this data predicts whole-body kinematic trajectories from egocentric images and language instructions, which a whole-body tracker converts to physical actions. The approach is validated on a Unitree G1 humanoid performing navigation and object transport, demonstrating viable sim-to-real transfer for perception-based loco-manipulation.
OrbitForge is a new method for converting text-generated videos into 3D Gaussian Splatting scenes without task-specific fine-tuning or score-distillation optimization. The approach uses a frozen video diffusion model as a prior, performs an initial 3D reconstruction via Deformable Gaussian Splatting, detects missing viewpoints from a prescribed orbit, and completes only those views before final reconstruction. On a 300-prompt T3Bench-derived audit, OrbitForge achieves a 359-degree median orbit span and substantially improves coverage quality over a MedianGS-only baseline. The work also argues for coverage-aware evaluation metrics in text-to-3D tasks.
A Hugging Face blog post introduces 3D Gaussian Splatting, a technique for real-time novel view synthesis and 3D scene reconstruction. The method represents scenes as collections of 3D Gaussians rather than implicit neural fields, enabling fast rendering. The post serves as an educational overview of the technique's mechanics and applications.