PixelFace+: Towards Controllable Face Generation and Manipulation with Text Descriptions and Segmentation Masks

Author:

Du Xiaoxiong1ORCID,Peng Jun1ORCID,Zhou Yiyi1ORCID,Zhang Jinlu1ORCID,Chen Siting1ORCID,Jiang Guannan2ORCID,Sun Xiaoshuai1ORCID,Ji Rongrong1ORCID

Affiliation:

1. Xiamen University, Xiamen, China

2. Contemporary Amperex Technology Co., Limited, Ningde, China

Funder

the National Science Fund for Distinguished Young Scholars

the National Natural Science Foundation of China

National Key R&D Program of China

the Natural Science Foundation of Fujian Province of China

Publisher

ACM

Reference84 articles.

1. HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

2. Image Generators with Conditionally-Independent Pixel Synthesis

3. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214--223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214--223.

4. Andrew Brock , Jeff Donahue , and Karen Simonyan . 2018. Large scale GAN training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096 ( 2018 ). Andrew Brock, Jeff Donahue, and Karen Simonyan. 2018. Large scale GAN training for high fidelity natural image synthesis. arXiv preprint arXiv:1809.11096 (2018).

5. Sofgan: A portrait image generator with dynamic styling;Chen Anpei;ACM Transactions on Graphics (TOG),2022

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