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AnyGameRenderer: Entity-Consistent Generative Rendering Across Games and an Entity-Level Benchmark

Ruicong Liu, Liangyang Ouyang, Fengbo Lan, Zhixiang Wang, Kaipeng Zhang · 2026 · arXiv

DOI: 10.48550/arXiv.2610.31466 · open-access PDF

French

Les agents de codage d'IA peuvent maintenant construire de petits jeux jouables en quelques minutes, mais les résultats ressemblent généralement à l'art du programmeur: blocages gris, primitifs géométriques colorés et blobs sémantiques plates. Nous présentons AnyGameRenderer, un rendu vidéo-à-vidéo générateur qui transforme ces images en images visuelles de haute qualité avec des personnages, des détails de mouvement et des effets. Tout au long, il maintient la mise en page, la caméra et la position et le timing de chaque entité intact.

Machine translation (Meta M2M100); the English original follows.

Abstract

AI coding agents can now build small playable games in minutes, but the results usually look like programmer art: gray blockouts, colored geometric primitives, and flat semantic blobs. We present AnyGameRenderer, a video-to-video generative renderer that turns such footage into high-quality visuals with characters, motion detail, and effects. Throughout, it keeps the layout, camera, and every entity's position and timing intact. Our AnyGameRenderer generalizes across a wide range of genres that agents build, such as tower defense, auto-battlers, top-down survivors, turn-based battles, kart rac

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