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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

Indonesian

Agen pengkodean AI sekarang dapat membangun permainan kecil yang dapat dimainkan dalam hitungan menit, tetapi hasilnya biasanya terlihat seperti seni pemrograman: blokade abu-abu, primitif geometris berwarna, dan blob semantik datar. Kami menyajikan AnyGameRenderer, pembuat render video-to-video yang mengubah rekaman tersebut menjadi visual berkualitas tinggi dengan karakter, detail gerakan, dan efek. Sepanjang waktu, itu menjaga tata letak, kamera, dan posisi dan waktu setiap entitas. AnyGameRenderer kami mempersempit berbagai genre yang dibangun agen, seperti pertahanan menara, perkelahian otomatis, survivor atas, pertempuran berbasis turn, kart rac

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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