2022 IEEE Conference on Games (CoG)最新文献

MOBA Game Item Recommendation via Relation-aware Graph Attention Network 基于关系感知图注意网络的MOBA游戏道具推荐

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893595

Lijuan Duan, Shuxin Li, Wenbo Zhang, Wenjian Wang

引用次数: 3

Adaptive Game Soundtrack Tempo Based on Players’ Actions 基于玩家动作的自适应游戏配乐节奏

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893604

M. Makhmutov, J. A. Brown, Maksim Surkov, Anton Timchenko, Kamilya Timchenko

引用次数: 1

Mjx: A framework for Mahjong AI research 麻将AI研究的框架

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893712

Sotetsu Koyamada, Keigo Habara, Nao Goto, Shinri Okano, Soichiro Nishimori, Shin Ishii

引用次数: 2

PIFE: Permutation Invariant Feature Extractor for Danmaku Games PIFE:排列不变特征提取器

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893649

Takuto Itoi, E. Simo-Serra

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引用次数: 0

Turing Test Framework for Cooperative Games 合作博弈的图灵测试框架

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893684

In-Chang Baek, Taehwa Park, Taegwan Ha, Kyung-Joong Kim

引用次数: 0

Reinforcement Learning using Reward Expectations in Scenarios with Aleatoric Uncertainties 在具有任意不确定性的情况下使用奖励期望的强化学习

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893651

Yubin Wang, Yifeng Sun, Jiang Wu, Hao Hu, Zhiqiang Wu, Weigui Huang

引用次数: 0

Realistic Game Avatars Auto-Creation from Single Images via Three-pathway Network 通过三通道网络从单个图像自动创建逼真的游戏头像

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893688

Jiangke Lin, Lincheng Li, Yi Yuan, Zhengxia Zou

{"title":"Realistic Game Avatars Auto-Creation from Single Images via Three-pathway Network","authors":"Jiangke Lin, Lincheng Li, Yi Yuan, Zhengxia Zou","doi":"10.1109/CoG51982.2022.9893688","DOIUrl":"https://doi.org/10.1109/CoG51982.2022.9893688","url":null,"abstract":"We propose a novel single image 3D face reconstruction method for realistic in-game avatar auto-creation. Although some existing 3D face reconstruction methods have been able to generate good geometry, there are still some shortages in texture generation, especially diffuse prediction, which limits its application in games or other scenarios. The main problems of these methods include: the details in the photo are not accurately restored, the produced diffuse is over smoothed, or the occlusion and lighting are not correctly removed, and so on. Although some methods collect high-quality 3D face data for neural networks to learn to generate realistic 3D faces, collecting 3D face data is known expensive. To address the above problems, we propose to utilize data from three sources, including single face images, manually inpainted diffuse maps paired with face portraits, and multiple photos of single IDs generated by a pretrained network. To make full use of these data, we propose a three-pathway network architecture that takes face images as input, produces diffuse maps, normal maps, as well as pose and light coefficients. The network parameters are optimized by comparing the rendered results with the input images, along with some other objective functions.","PeriodicalId":394281,"journal":{"name":"2022 IEEE Conference on Games (CoG)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123500088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cute Helper: A Study on the Effect of Virtual Character Expressions on Players’ Engagement in a Game for Collecting Artwork Descriptions 可爱的帮手:虚拟角色表情对收集艺术品描述游戏玩家粘性的影响研究

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893683

Albertus Agung, Roman Savchyn, Pujana Paliyawan, R. Thawonmas

引用次数: 0

Stirring the Pot - Teaching Reinforcement Learning Agents a ”Push-Your-Luck” board game 搅动锅-教学强化学习代理“推你的运气”棋盘游戏

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893657

M. Hünemörder, Mirjam Bayer, Nadine Sarah Schüler, Peer Kröger

引用次数: 0

Learning Strategies for Imperfect Information Board Games Using Depth-Limited Counterfactual Regret Minimization and Belief State 基于深度限制的反事实后悔最小化和信念状态的不完全信息棋盘博弈学习策略

2022 IEEE Conference on Games (CoG) Pub Date : 2022-08-21 DOI: 10.1109/CoG51982.2022.9893713

Chen Chen, Tomoyuki Kaneko

引用次数: 0