36 citations · 114 across the 6 of their papers we have counts for
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cs.CV2022★ 17 cited
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Xintian Wu, Hanbin Zhao, Liangli Zheng +2
As a challenging task, text-to-image generation aims to generate photo-realistic and semantically consistent images according to the given text descriptions. Existing methods mainl…
cs.CV2022★ 32 cited
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Xintian Wu, Qihang Zhang, Yiming Wu +4
Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion. Pr…
cs.CV2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
Xintian Wu, Huanyu Wang, Yiming Wu +1
As an important and challenging problem, few-shot image generation aims at generating realistic images through training a GAN model given few samples. A typical solution for few-sh…