Search Results for author:
Found 4 papers, 3 papers with code
RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering
We propose RainyScape, an unsupervised framework for reconstructing clean scenes from a collection of multi-view rainy images.
Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network
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 under low-light conditions.
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
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 downstream tasks.
Learning A Locally Unified 3D Point Cloud for View Synthesis
To tackle this challenging problem, we propose a new deep learning-based view synthesis paradigm that learns a locally unified 3D point cloud from source views.
