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InfiniCity: Infinite-Scale City Synthesis

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arxiv 2301.09637 v2 pith:5BUOAHW7 submitted 2023-01-23 cs.CV cs.AIcs.GRcs.LG

classification cs.CVcs.AIcs.GRcs.LG
keywords infinicitycitymodulesynthesisarbitrary-scaleframeworkinfinite-scalerenders
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Toward infinite-scale 3D city synthesis, we propose a novel framework, InfiniCity, which constructs and renders an unconstrainedly large and 3D-grounded environment from random noises. InfiniCity decomposes the seemingly impractical task into three feasible modules, taking advantage of both 2D and 3D data. First, an infinite-pixel image synthesis module generates arbitrary-scale 2D maps from the bird's-eye view. Next, an octree-based voxel completion module lifts the generated 2D map to 3D octrees. Finally, a voxel-based neural rendering module texturizes the voxels and renders 2D images. InfiniCity can thus synthesize arbitrary-scale and traversable 3D city environments, and allow flexible and interactive editing from users. We quantitatively and qualitatively demonstrate the efficacy of the proposed framework. Project page: https://hubert0527.github.io/infinicity/

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Proc-GS: Procedural Building Generation for City Assembly with 3D Gaussians

    cs.CV 2024-12 conditional novelty 6.0 of 10

    Proc-GS constrains 3D Gaussian Splatting with procedural code to extract reusable building assets and assemble new buildings and cities.

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