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Found 17 papers, 5 papers with code
TransFlow: Transformer as Flow Learner
Optical flow is an indispensable building block for various important computer vision tasks, including motion estimation, object tracking, and disparity measurement.
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
Due to the difficulty in collecting large-scale and perfectly aligned paired training data for Under-Display Camera (UDC) image restoration, previous methods resort to monitor-based image systems or simulation-based methods, sacrificing the realness of the data and introducing domain gaps.
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
Besides noise from the imaging sensors, almost every step in the ISP introduces or amplifies noise in different ways, and denoising operators are designed to reduce the noise from these sources.
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
In this Mobile AI challenge, the target was to develop an efficient end-to-end AI-based bokeh effect rendering approach that can run on modern smartphone GPUs using TensorFlow Lite.
Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh
We thus propose a network-based approach that is capable of rendering realistic monocular bokeh from single image inputs.
Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography
The lensless pinhole camera is perhaps the earliest and simplest form of an imaging system using only a pinhole-sized aperture in place of a lens.
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
Recent development of Under-Display Camera (UDC) systems provides a true bezel-less and notch-free viewing experience on smartphones (and TV, laptops, tablets), while allowing images to be captured from the selfie camera embedded underneath.
iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging
Recently, data-driven methods that jointly denoise and mitigate MPI have become state-of-the-art without using the intermediate transient representation.
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration.
JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image Compression
Moreover, they focus mostly on rate-distortion and tend to underperform in perception quality especially in low bitrate regime, and often disregard the performance of downstream computer vision algorithms, which is a fast-growing consumer group of compressed images in addition to human viewers.
PhaseCam3D — Learning Phase Masks for Passive Single View Depth Estimation
Multi-camera systems provide state of the art performance for passive 3D imaging.
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Good temporal representations are crucial for video understanding, and the state-of-the-art video recognition framework is based on two-stream networks.
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Motion blur is a fundamental problem in computer vision as it impacts image quality and hinders inference.
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging
The proposed online algorithm is useful in a setting where one seeks to design a progressive decoding strategy to reconstruct a sparse signal from linear measurements so that one does not have to wait until all measurements are acquired.
Compressive Holographic Video
Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image.
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
Deep learning using convolutional neural networks (CNNs) is quickly becoming the state-of-the-art for challenging computer vision applications.
FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared
Unfortunately, the measurement rate of a SPC is insufficient to enable imaging at high spatial and temporal resolutions.
