arXiv Computer Vision By Xiaoyu Zhan, Xinyu Wang, Xiaohong Zhang, Huanjie Zhu, Tengjiao Sun, Pengcheng Fang, Jiaxing Yu, Yanwen Guo, Dongjie Fu

Magpie: Real-Time World Renderer for Interactive Games

Read the original on arXiv Computer Vision →

Magpie is a real‑time generative world‑rendering system designed for interactive games. It decouples gameplay execution from visual generation, allowing designers to define scenes and rules in a game engine while a separate render server produces visual output from the engine’s white‑box frames. This approach preserves gameplay designability and reproducibility, and reduces early prototype dependence on finished visual assets.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

Hugging Face Trending Papers
Aug 27

Magpie: Real-Time World Renderer for Interactive Games

Magpie is a real‑time generative world‑rendering system that decouples gameplay execution from visual generation. Designers set up scenes and rules in a game engine, which handles player actions and world state, while a separate Render Server produces visual output from the engine’s white‑box frames. This approach lets developers create interactive games without needing fully finished visual assets early in the prototype stage.

arXiv Computer Vision
Sep 10

Programmable World Model

arXiv:2609.10540v1 Announce Type: new Abstract: Recent video world models generate increasingly realistic and interactive visual experiences, yet lack reliable mechanisms for maintaining persistent w...

By Zheng-Hui Huang, Guixu Lin, Jiacheng Lin, Yi-Chuan Huang, Ruihan Yu, Muyao Niu, Siqi Yang, Yu-Lun Liu, Yung-Yu Chuang, Kaipeng Zhang, Zhixiang Wang
arXiv AI
Aug 11

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System

arXiv:2607. 27380v2 Announce Type: replace-cross Abstract: Text-to-video models have achieved remarkable visual quality, yet they still struggle to generate physically consistent dynamics because the temporal evolution of a scene must be inferred implicitly from a highly compressed text prompt.

By Haodong Li, Tianfei Ren, Xiaoxiao Ma, Chunmei Qing, Zhen Fang, Sipeng He, Ziyu Guo, Haoyu Wu, Juanxi Tian, Yihang Zou, Ruichuan An, Dongzhi Jiang, Boxue Yang, Ji Xie, Xu Huang, Wenhao Yan, Jialv Zou, Zhengrong Yue, Yaxin Luo, Xiaotong Li, Yuzhu Wang, Junyan Ye, Jinjing Zhao, Zehui Chen, Lin Chen, Renye Yan, Feng Zhao, Pheng-Ann Heng