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Splatshop: Efficiently Editing Large Gaussian Splat Models

Splatshop: Efficiently Editing Large Gaussian Splat Models Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer. 2025–06 in Computer Graphics Forum (Proc. HPG) 44, 8. Official version Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, ...) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact an

From Point Clouds to Photorealism: How PRoGS Advances the State of Neural Rendering

What if a real-time automated decision-making process needs a computer vision system to produce photorealistic visuals in a mere fraction of a second? In many cases, this requires too much computational power — if it’s even possible at all. When computer vision uses 3D Gaussian splatting (3DGS), it provides a photorealistic image, but the process takes far too long. For more on this topic, see our article on computer vision for disaster responses. This article discusses a new approach, Progress