1 code implementation • 24 Oct 2022 • Johannes Ackermann, Minjun Li
We first use Blended Diffusion to edit the image at a low resolution, and then upscale it in multiple stages, using a super-resolution model and Blended Diffusion.
no code implementations • CVPR 2021 • Minjun Li, Yanghua Jin, Huachun Zhu
Thorough experimental analysis on the facial attribute adjustment task shows that our method outperforms state-of-the-art methods in disentanglement.
no code implementations • ECCV 2018 • Minjun Li, Hao-Zhi Huang, Lin Ma, Wei Liu, Tong Zhang, Yu-Gang Jiang
Recent studies on unsupervised image-to-image translation have made a remarkable progress by training a pair of generative adversarial networks with a cycle-consistent loss.
7 code implementations • 18 Aug 2017 • Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, Zhihao Fang
With quantitative analysis and case studies we demonstrate that our efforts lead to a stable and high-quality model.
no code implementations • CVPR 2017 • Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, xiangyang xue
This paper focuses on a novel and challenging vision task, dense video captioning, which aims to automatically describe a video clip with multiple informative and diverse caption sentences.