《Face-to-Parameter Translation for Game Character Auto-Creation》论文解析
网易游戏伏羲AI lab最近出了一片文章，《Face-to-Parameter Translation for Game Character Auto-Creation》，收录于ICCV。这篇文章解决了一个问题：可以在游戏的捏脸系统中实现输入一张人脸照片，然后生成相似的游戏角色。 如图所示： 让我们再细化一下这个问题，假设一个游戏的捏脸参数有200个，那么这个算法的功能就是：输入一张人脸图，输出2
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相关文章
- 1. [NIPs19]Face-to-Parameter Translation for Game Character Auto-Creation
- 2. Character Region Awareness for Text Detection 论文解读
- 3. 论文阅读——Dual Learning for Machine Translation
- 4. 论文阅读：Dual Learning for Machine Translation
- 5. 论文解读：Selective Attention for Context-aware Neural Machine Translation
- 6. 论文解读：Sequence to Sequence Mixture Model for Diverse Machine Translation
- 7. 论文解读：Multimodal Machine Translation with Embedding Prediction
- 8. 《DLOW:Domain Flow for Adaptation and Generalization》论文解析
- 9. Untitled Goose Game for Mac中文
- 10. 论文阅读——Modeling Future Cost for Neural Machine Translation