no code implementations • 7 May 2024 • Sidun Liu, Peng Qiao, Zongxin Ye, Wenyu Li, Yong Dou
The scalability of our method on reconstruction quality is further evaluated qualitatively and quantitatively.
no code implementations • 16 Apr 2024 • Zongxin Ye, Wenyu Li, Sidun Liu, Peng Qiao, Yong Dou
In this work, we present a comprehensive analysis of the cause of aforementioned artifacts, namely gradient collision, which prevents large Gaussians in over-reconstructed regions from splitting.
no code implementations • 29 Jan 2023 • Peng Qiao, Sidun Liu, Tao Sun, Ke Yang, Yong Dou
It provides a promising way to introduce the Transformer in low-level vision tasks.
1 code implementation • 27 Aug 2022 • Sidun Liu, Peng Qiao, Yong Dou
Therefore, we propose to make the network learn the distribution of feasible solutions, and design based on this consideration a novel multi-head output architecture and corresponding loss function for distribution learning.
Ranked #6 on Image Deblurring on GoPro