[2603.29089] WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation

Computer Science > Computer Vision and Pattern Recognition arXiv:2603.29089 (cs) [Submitted on 31 Mar 2026] Title:WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation Authors:Amogh Joshi, Julian Ost, Felix Heide View a PDF of the paper titled WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation, by Amogh Joshi and 2 other authors View PDF HTML (experimental) Abstract:Unbounded 3D world generation is emerging as a foundational task for scene modeling in computer vision, graphics, and robotics. In this work, we present WorldFlow3D, a novel method capable of generating unbounded 3D worlds. Building upon a foundational property of flow matching - namely, defining a path of transport between two data distributions - we model 3D generation more generally as a problem of flowing through 3D data distributions, not limited to conditional denoising. We find that our latent-free flow approach generates causal and accurate 3D structure, and can use this as an intermediate distribution to guide the generation of more complex structure and high-quality texture - all while converging more rapidly than existing methods. We enable controllability over generated scenes with vectorized scene layout conditions for geometric structure control and visual texture control through scene attributes. We confirm the effectiveness of WorldFlow3D on both real outdoor driving scenes and synthetic indoor scenes, validating cross-domain generalizability and ...