3 papers
cs.CV2026
Aligning Network Equivariance with Data Symmetry: A Theoretical Framework and Adaptive Approach for Image Restoration
Feiyu Tan, Qi Xie, Zongben Xu +1
Image restoration is an inherently ill posed inverse problem. Equivariant networks that embed geometric symmetry priors can mitigate this ill posedness and improve performance. How…
cs.CV2026
Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors
Feiyu Tan, Heran Yang, Qihong Duan +3
Image-to-image translation (I2I) is a fundamental task in computer vision, focused on mapping an input image from a source domain to a corresponding image in a target domain while…
cs.CV2025
Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution
Xinyi Liu, Feiyu Tan, Qi Xie +2
Burst image processing (BIP), which captures and integrates multiple frames into a single high-quality image, is widely used in consumer cameras. As a typical BIP task, Burst Image…