Building realistic 3D environments for robotics simulation has traditionally been a labor-intensive process, often requiring weeks of manual modeling and setup....

Building realistic 3D environments for robotics simulation has traditionally been a labor-intensive process, often requiring weeks of manual modeling and setup. Now, with generative world models, you can go from a text prompt to a photorealistic, simulation-ready world in a fraction of time. By combining NVIDIA Isaac Sim, an open source robotics reference framework, with generative models such as…

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Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D Gaussian Splatting...

Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D Gaussian Splatting (3DGS) and 3D Gaussian with Unscented Transform (3DGUT), rendered views can still contain artifacts such as blurriness, holes, or spurious geometry—especially from novel viewpoints. These artifacts significantly reduce visual quality and can…

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