WonderJourney: Going from Anywhere to Everywhere
Hong-Xing Yu
Haoyi Duan
Junhwa Hur
Kyle Sargent
Michael Rubinstein
William T. Freeman
Forrester Cole
Deqing Sun
Noah Snavely
Jiajun Wu
Charles Herrmann

Abstract
We introduce WonderJourney, a modularized framework for perpetual 3D scene generation. Unlike prior work on view generation that focuses on a single type of scenes, we start at any user-provided location (by a text description or an image) and generate a journey through a long sequence of diverse yet coherently connected 3D scenes. We leverage an LLM to generate textual descriptions of the scenes in this journey, a text-driven point cloud generation pipeline to make a compelling and coherent sequence of 3D scenes, and a large VLM to verify the generated scenes. We show compelling, diverse visual results across various scene types and styles, forming imaginary "wonderjourneys". Project website: https://kovenyu.com/WonderJourney/
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