12 citations · 12 across the 5 of their papers we have counts for
5 papers
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method
Yuji Lin, Junhui Hou, Xianqiang Lyu +2
In this paper, we delve into the realm of 4-D light fields (LFs) to enhance underwater imaging plagued by light absorption, scattering, and other challenges. Contrasting with conve…
RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering
Xianqiang Lyu, Hui Liu, Junhui Hou
We propose RainyScape, an unsupervised framework for reconstructing clean scenes from a collection of multi-view rainy images. RainyScape consists of two main modules: a neural ren…
Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network
Xianqiang Lyu, Junhui Hou
This paper presents a novel and interpretable end-to-end learning framework, called the deep compensation unfolding network (DCUNet), for restoring light field (LF) images captured…
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
Xianqiang Lyu, Junhui Hou
The high-dimensional nature of the 4-D light field (LF) poses great challenges in achieving efficient and effective feature embedding, that severely impacts the performance of down…
Learning A Locally Unified 3D Point Cloud for View Synthesis
Meng You, Mantang Guo, Xianqiang Lyu +2
In this paper, we explore the problem of 3D point cloud representation-based view synthesis from a set of sparse source views. To tackle this challenging problem, we propose a new…