WonderWorld: Interactive 3D Scene Generation from a Single Image
CVPR 2025(2025)
Abstract
We present WonderWorld, a novel framework for interactive 3D sceneextrapolation that enables users to explore and shape virtual environmentsbased on a single input image and user-specified text. While significantimprovements have been made to the visual quality of scene generation, existingmethods are run offline, taking tens of minutes to hours to generate a scene.By leveraging Fast Gaussian Surfels and a guided diffusion-based depthestimation method, WonderWorld generates geometrically consistent extrapolationwhile significantly reducing computational time. Our framework generatesconnected and diverse 3D scenes in less than 10 seconds on a single A6000 GPU,enabling real-time user interaction and exploration. We demonstrate thepotential of WonderWorld for applications in virtual reality, gaming, andcreative design, where users can quickly generate and navigate immersive,potentially infinite virtual worlds from a single image. Our approachrepresents a significant advancement in interactive 3D scene generation,opening up new possibilities for user-driven content creation and explorationin virtual environments. We will release full code and software forreproducibility. Project website: https://WonderWorld-2024.github.io/
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Key words
Interactive,Single Image,3D Scene,3D Scene Generation,Human-computer Interaction,Depth Map,Low Latency,Depth Estimation,Fast Generation,Single GPU,Scene Content,Denoising,Input Image,Point Cloud,Diffusion Model,Line Of Work,Scene Images,3D Position,Diverse Content,Geometric Distortion,Single Scene,Scene Representation,3D World,Prior Methods,Valid Pixels,Viewpoint Changes,Occluded Regions,Multi-view Images,Camera Placement,Variety Of Scenes
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