1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
Xin Qiao, Matteo Poggi, Xing Wei +3
Under-display ToF imaging aims to achieve accurate depth sensing through a ToF camera placed beneath a screen panel. However, transparent OLED (TOLED) layers introduce severe degra…
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
Xin Qiao, Matteo Poggi, Pengchao Deng +3
Integrating an RGB camera into a ToF imaging system has become a significant technique for perceiving the real world. The RGB guided ToF imaging system is crucial to several applic…
Depth Super-Resolution from Explicit and Implicit High-Frequency Features
Xin Qiao, Chenyang Ge, Youmin Zhang +4
We propose a novel multi-stage depth super-resolution network, which progressively reconstructs high-resolution depth maps from explicit and implicit high-frequency features. The f…
Rethinking Blur Synthesis for Deep Real-World Image Deblurring
Hao Wei, Chenyang Ge, Xin Qiao +1
In this paper, we examine the problem of real-world image deblurring and take into account two key factors for improving the performance of the deep image deblurring model, namely,…