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Found 7 papers, 1 papers with code
GuideFormer: Transformers for Image Guided Depth Completion
Depth completion has been widely studied to predict a dense depth image from its sparse measurement and a single color image.
DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
This manual is intended to provide a detailed description of the DIML/CVL RGB-D dataset.
Memory-guided Unsupervised Image-to-image Translation
We present a novel unsupervised framework for instance-level image-to-image translation.
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This challenge is based on a newly collected validation and testing image datasets, and hence, named SIDD+.
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
In this paper, we present a simple yet effective approach for monocular depth estimation using stereo image pairs.
Deeply Aggregated Alternating Minimization for Image Restoration
The proposed framework enables the convolutional neural networks (CNNs) to operate as a prior or regularizer in the AM algorithm.
Efficient Splitting-based Method for Global Image Smoothing
In this paper, we introduce a highly efficient splitting-based method for global EPS that minimizes the objective function of ${l_2}$ data and prior terms (possibly non-smooth and non-convex) in linear time.
