WonderJourney: Going from Anywhere to Everywhere
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun
Abstract
We introduce WonderJourney a modular 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.
BibTeX
@inproceedings{cvpr2024_wonderjourneygoi,
title = {WonderJourney: Going from Anywhere to Everywhere},
author = {Hong-Xing Yu and Haoyi Duan and Junhwa Hur and Kyle Sargent and Michael Rubinstein and William T. Freeman and Forrester Cole and Deqing Sun and Noah Snavely and Jiajun Wu and Charles Herrmann},
booktitle = {CVPR 2024},
year = {2024}
}