1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2024
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
Jiawei Mao, Yu Yang, Xuesong Yin +2
Image restoration models often face the simultaneous interaction of multiple degradations in real-world scenarios. Existing approaches typically handle single or composite degradat…
cs.CV2024
Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization
Jiawei Mao, Xiaoke Huang, Yunfei Xie +7
This paper introduces Story-Iter, a new training-free iterative paradigm to enhance long-story generation. Unlike existing methods that rely on fixed reference images to construct…
cs.CV2022★ 1 cited
Improvements to Self-Supervised Representation Learning for Masked Image Modeling
Jiawei Mao, Xuesong Yin, Yuanqi Chang +1
This paper explores improvements to the masked image modeling (MIM) paradigm. The MIM paradigm enables the model to learn the main object features of the image by masking the input…