arXiv 2610.31466 · cs.CV · 2026-10-22
AnyGameRenderer: Entity-Consistent Generative Rendering Across Games and an Entity-Level Benchmark
Ruicong Liu, Liangyang Ouyang, Fengbo Lan, Zhixiang Wang, Kaipeng Zhang
Alaya Lab
在最新榜 #332 本站收录于 2026-10-26
一句话要点
AnyGameRenderer 是视频到视频的生成式渲染器,把 AI 写出的灰盒、色块小游戏画面变成高质量视觉效果,同时保留布局、镜头和每个实体的位置与时机,只需普通视频输入。
AnyGameRenderer is a video-to-video generative renderer that turns gray-blockout games built by coding agents into polished visuals while keeping layout, camera and every entity's position and timing, using plain video as input.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:视觉生成
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- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation ▲200
同主题:评测与数据
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- FDE-Gym: The Last Mile of AI Delivery 2026-10-15 · ▲270
同机构:Alaya Lab
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-26。
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