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20182024
most citedUnsupervised Deep Image Stitching: Reconstructing Stitched Features to Images

287 citations · 529 across the 51 of their papers we have counts for

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Showing 2021Show all

18 papers · 1 filter

cs.CV2021★ 3 cited

Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer

Fushun Zhu, Shan Zhao, Peng Wang +3

We propose a semi-supervised network for wide-angle portraits correction. Wide-angle images often suffer from skew and distortion affected by perspective distortion, especially not…

cs.CV2021★ 1 cited

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

Cheng Zhang, Zhaopeng Cui, Cai Chen +4

Panorama images have a much larger field-of-view thus naturally encode enriched scene context information compared to standard perspective images, which however is not well exploit…

cs.CV2021★ 5 cited

Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation

Lang Nie, Chunyu Lin, Kang Liao +2

Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration. Traditional homography estimation…

cs.CV2021★ 287 cited

Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images

Lang Nie, Chunyu Lin, Kang Liao +2

Traditional feature-based image stitching technologies rely heavily on feature detection quality, often failing to stitch images with few features or low resolution. The learning-b…

cs.CV2021★ 1 cited

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

Goutam Bhat, Martin Danelljan, Radu Timofte +25

This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times hig…

cs.CV2021★ 3 cited

FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration

Hao Xu, Nianjin Ye, Guanghui Liu +2

Data association is important in the point cloud registration. In this work, we propose to solve the partial-to-partial registration from a new perspective, by introducing multi-le…