ICE: Interactive 3D Game Character Facial Editing via Dialogue

Most recent popular Role-Playing Games (RPGs) allow players to create in-game characters with hundreds of adjustable parameters, including bone positions and various makeup options. Although text-driven auto-customization systems have been developed to simplify the complex process of adjusting these intricate character parameters, they are limited by their single-round generation and lack the capability for further editing and fine-tuning. In this paper, we propose an Interactive Character Editing framework (ICE) to achieve a multi-round dialogue-based refinement process. In a nutshell, our ICE offers a more user-friendly way to enable players to convey creative ideas iteratively while ensuring that created characters align with the expectations of players. Specifically, we propose an Instruction Parsing Module (IPM) that utilizes large language models (LLMs) to parse multi-round dialogues into clear editing instruction prompts in each round. To reliably and swiftly modify character control parameters at a fine-grained level, we propose a Semantic-guided Low-dimension Parameter Solver (SLPS) that edits character control parameters according to prompts in a zero-shot manner. Our SLPS first localizes the character control parameters related to the fine-grained modification, and then optimizes the corresponding parameters in a low-dimension space to avoid unrealistic results. Extensive experimental results demonstrate the effectiveness of our proposed ICE for in-game character creation and the superior editing performance of ICE. Code: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/NeteaseFuxi/ICE-Interactive-3D-Game-Character</uri>.

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Publication Details

Journal
IEEE Transactions on Multimedia
Published
2025-01-01
DOI
https://doi.org/10.1109/tmm.2025.3557611
Citations
1
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
1.28
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article

ICE: Interactive 3D Game Character Facial Editing via Dialogue

Xin Yu, Lincheng Li, Changjie Fan, Minda Zhao et al.
1 citations
IEEE Transactions on Multimedia
Face recognition and analysis
1.28
article

ICE: Interactive 3D Game Character Facial Editing via Dialogue

Xin Yu, Lincheng Li, Changjie Fan, Minda Zhao, Weijie Chen, Zhipeng Hu, Haoqian Wu, Rui Zhao
article en
1 citations

Abstract

Most recent popular Role-Playing Games (RPGs) allow players to create in-game characters with hundreds of adjustable parameters, including bone positions and various makeup options. Although text-driven auto-customization systems have been developed to simplify the complex process of adjusting these intricate character parameters, they are limited by their single-round generation and lack the capability for further editing and fine-tuning. In this paper, we propose an Interactive Character Editing framework (ICE) to achieve a multi-round dialogue-based refinement process. In a nutshell, our ICE offers a more user-friendly way to enable players to convey creative ideas iteratively while ensuring that created characters align with the expectations of players. Specifically, we propose an Instruction Parsing Module (IPM) that utilizes large language models (LLMs) to parse multi-round dialogues into clear editing instruction prompts in each round. To reliably and swiftly modify character control parameters at a fine-grained level, we propose a Semantic-guided Low-dimension Parameter Solver (SLPS) that edits character control parameters according to prompts in a zero-shot manner. Our SLPS first localizes the character control parameters related to the fine-grained modification, and then optimizes the corresponding parameters in a low-dimension space to avoid unrealistic results. Extensive experimental results demonstrate the effectiveness of our proposed ICE for in-game character creation and the superior editing performance of ICE. Code: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/NeteaseFuxi/ICE-Interactive-3D-Game-Character</uri>.

IEEE Transactions on MultimediaVol. 27
The University of Queensland (AU), National University of Singapore (SG), NetEase (China) (CN)
Openalex Percentile: Top 22%
Face recognition and analysis
1.28
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