no code implementations • 15 Apr 2024 • Zhaokun Zhou, Qiulin Wang, Bin Lin, Yiwei Su, Rui Chen, Xin Tao, Amin Zheng, Li Yuan, Pengfei Wan, Di Zhang
To further evaluate the IAA capability of MLLMs, we construct the UNIAA-Bench, which consists of three aesthetic levels: Perception, Description, and Assessment.
1 code implementation • 24 Jan 2022 • Bo Li, Qiulin Wang, JiQuan Pei, Yu Yang, Xiangyang Ji
First, we propose a novel approach to disentangle latent subspace semantics by exploiting existing face analysis models, e. g., face parsers and face landmark detectors.
1 code implementation • 9 Nov 2021 • Qiulin Wang, Lu Zhang, Bo Li
On the other hand, some area of the generated image might be occluded in the source image, which makes it difficult for GAN to generate realistic appearance.