26 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CV2024
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts
Xinyu Liu, Yingqing He, Lanqing Guo +10
The potential for higher-resolution image generation using pretrained diffusion models is immense, yet these models often struggle with issues of object repetition and structural a…
cs.CV2022★ 1 cited
Interpreting Class Conditional GANs with Channel Awareness
Yingqing He, Zhiyi Zhang, Jiapeng Zhu +2
Understanding the mechanism of generative adversarial networks (GANs) helps us better use GANs for downstream applications. Existing efforts mainly target interpreting unconditiona…
cs.CV2021★ 26 cited
Unsupervised Portrait Shadow Removal via Generative Priors
Yingqing He, Yazhou Xing, Tianjia Zhang +1
Portrait images often suffer from undesirable shadows cast by casual objects or even the face itself. While existing methods for portrait shadow removal require training on a large…