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09/21/2023
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
In this paper, we introduce a new approach for high-quality multi-exposu...
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08/25/2023
AccFlow: Backward Accumulation for Long-Range Optical Flow
Recent deep learning-based optical flow estimators have exhibited impres...
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08/16/2023
Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
This paper presents a novel network structure with illumination-aware ga...
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07/28/2023
Supervised Homography Learning with Realistic Dataset Generation
In this paper, we propose an iterative framework, which consists of two ...
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07/26/2023
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Correlation based stereo matching has achieved outstanding performance, ...
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07/10/2023
SAM-IQA: Can Segment Anything Boost Image Quality Assessment?
Image Quality Assessment (IQA) is a challenging task that requires train...
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06/09/2023
Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions
Accurate segmentation of lesions is crucial for diagnosis and treatment ...
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06/01/2023
Low-Light Image Enhancement with Wavelet-based Diffusion Models
Diffusion models have achieved promising results in image restoration ta...
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04/10/2023
Exposure Fusion for Hand-held Camera Inputs with Optical Flow and PatchMatch
This paper proposes a hybrid synthesis method for multi-exposure image f...
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03/20/2023
Learning Optical Flow from Event Camera with Rendered Dataset
We study the problem of estimating optical flow from event cameras. One ...
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02/16/2023
Learning Thin-Plate Spline Motion and Seamless Composition for Parallax-Tolerant Unsupervised Deep Image Stitching
Traditional image stitching approaches tend to leverage increasingly com...
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01/23/2023
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning
Existing homography and optical flow methods are erroneous in challengin...
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12/23/2022
DAS: Neural Architecture Search via Distinguishing Activation Score
Neural Architecture Search (NAS) is an automatic technique that can sear...
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12/14/2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
This paper proposes a deep recurrent Rotation Averaging Graph Optimizer ...
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12/06/2022
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint
Homography estimation is erroneous in the case of large-baseline due to ...
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12/05/2022
Minimum Latency Deep Online Video Stabilization
We present a novel camera path optimization framework for the task of on...
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08/10/2022
Ghost-free High Dynamic Range Imaging with Context-aware Transformer
High dynamic range (HDR) deghosting algorithms aim to generate ghost-fre...
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07/22/2022
RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos
Obtaining the ground truth labels from a video is challenging since the ...
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07/07/2022
Deep Rotation Correction without Angle Prior
Not everybody can be equipped with professional photography skills and s...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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05/24/2022
Thunder: Thumbnail based Fast Lightweight Image Denoising Network
To achieve promising results on removing noise from real-world images, m...
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05/08/2022
Unsupervised Homography Estimation with Coplanarity-Aware GAN
Estimating homography from an image pair is a fundamental problem in ima...
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04/18/2022
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment
This work addresses the Burst Super-Resolution (BurstSR) task using a ne...
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03/22/2022
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
With the advent of convolutional neural networks, stereo matching algori...
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03/08/2022
Deep Rectangling for Image Stitching: A Learning Baseline
Stitched images provide a wide field-of-view (FoV) but suffer from unple...
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02/15/2022
Deep Constrained Least Squares for Blind Image Super-Resolution
In this paper, we tackle the problem of blind image super-resolution(SR)...
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02/08/2022
Learning Optical Flow with Adaptive Graph Reasoning
Estimating per-pixel motion between video frames, known as optical flow,...
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09/14/2021
Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer
We propose a semi-supervised network for wide-angle portraits correction...
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07/06/2021
Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
Homography estimation is an important task in computer vision, such as i...
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06/24/2021
Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
Traditional feature-based image stitching technologies rely heavily on f...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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06/07/2021
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
Data association is important in the point cloud registration. In this w...
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05/22/2021
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
In this paper, we present an attention-guided deformable convolutional n...
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05/17/2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Image denoising is one of the most critical problems in mobile photo pro...
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04/26/2021
Practical Wide-Angle Portraits Correction with Deep Structured Models
Wide-angle portraits often enjoy expanded views. However, they contain p...
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04/08/2021
ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
We present an unsupervised optical flow estimation method by proposing a...
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03/29/2021
Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection
In this paper, we introduce a new framework for unsupervised deep homogr...
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03/26/2021
D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution
In this paper, we present D2C-SR, a novel framework for the task of imag...
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03/25/2021
GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
Existing optical flow methods are erroneous in challenging scenes, such ...
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03/11/2021
Holistic 3D Scene Understanding from a Single Image with Implicit Representation
We present a new pipeline for holistic 3D scene understanding from a sin...
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03/01/2021
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration
Point cloud registration is a key task in many computational fields. Pre...
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02/03/2021
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
The paper proposes a method to effectively fuse multi-exposure inputs an...
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01/27/2021
DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation
Mobile captured images can be aligned using their gyroscope sensors. Opt...
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01/19/2021
JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
The paper proposes a solution based on Generative Adversarial Network (G...
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12/30/2020
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
In this paper, we introduce NBNet, a novel framework for image denoising...
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12/01/2020
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
We present an unsupervised learning approach for optical flow estimation...
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09/15/2020
Decision-based Universal Adversarial Attack
A single perturbation can pose the most natural images to be misclassifi...
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06/30/2020
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
Occlusion is an inevitable and critical problem in unsupervised optical ...
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06/09/2020
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection
3D object detection has become an emerging task in autonomous driving sc...
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06/07/2020
