2 code implementations • 13 Feb 2023 • Gang Zhang, Ziyi Li, Chufeng Tang, Jianmin Li, Xiaolin Hu
A hallmark of CEDNet is its ability to incorporate high-level features from early stages to guide low-level feature learning in subsequent stages, thereby enhancing the effectiveness of multi-scale feature fusion.
1 code implementation • ICCV 2023 • Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya zhang, Yanfeng Wang, Weidi Xie
The goal of this paper is to extract the visual-language correspondence from a pre-trained text-to-image diffusion model, in the form of segmentation map, i. e., simultaneously generating images and segmentation masks for the corresponding visual entities described in the text prompt.
no code implementations • 7 Oct 2022 • Qinye Zhou, Ziyi Li, Weidi Xie, Xiaoyun Zhang, Ya zhang, Yanfeng Wang
Existing models on super-resolution often specialized for one scale, fundamentally limiting their use in practical scenarios.