生成更精细的动漫脸——《Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation》论文解析
今天要介绍的这篇文章，来自北大和字节跳动AI lab。 首先放上arxiv地址：https://www.arxiv-vanity.com/papers/2007.13332/ 这篇文章做了一件什么事呢？它在之前真实人脸转动漫的基础上，新加了Few-shot的算法，用少量数据就能让模型更好地生成某一类图片（比如老人、小孩）。 事实上这是一次image2image+domain adaptation的
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相关文章
- 1. Landmark Assisted CycleGAN for Cartoon Face Generation
- 2. Open Relation Extraction: Relational Knowledge Transfer论文解析
- 3. 【论文精读】Knowledge Transfer with Jacobian Matching
- 4. Data-Driven Face Cartoon Stylization（2014）
- 5. 【distill.&transfer】Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
- 6. 3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation论文泛读
- 7. 问题生成论文（question generation）-2020
- 8. 论文总结之问答生成《Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering》
- 9. 《Face-to-Parameter Translation for Game Character Auto-Creation》论文解析
- 10. 论文速看[2019-1-10] Low-Cost Transfer Learning of Face Tasks