4 papers
CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning
Peiwen Xia, Tangfei Liao, Wei Zhu +5
Establishing reliable correspondences between image pairs is a fundamental task in computer vision, underpinning applications such as 3D reconstruction and visual localization. Alt…
CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning
Wei Zhu, Yicheng Liu, Yuping He +5
In the fields of computer vision and robotics, accurate pixel-level correspondences are essential for enabling advanced tasks such as structure-from-motion and simultaneous localiz…
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal
Tao Wang, Wanglong Lu, Kaihao Zhang +2
Existing single image reflection removal (SIRR) methods using deep learning tend to miss key low-frequency (LF) and high-frequency (HF) differences in images, affecting their effec…
Deep Video Restoration for Under-Display Camera
Xuanxi Chen, Tao Wang, Ziqian Shao +6
Images or videos captured by the Under-Display Camera (UDC) suffer from severe degradation, such as saturation degeneration and color shift. While restoration for UDC has been a cr…