Reference-based Video Super-Resolution Using Multi-Camera Video Triplets

Author:

Lee Junyong1,Lee Myeonghee1,Cho Sunghyun1,Lee Seungyong1

Affiliation:

1. POSTECH

Funder

IITP

NRF

Publisher

IEEE

Reference35 articles.

1. EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation

2. Image Super-Resolution by Neural Texture Transfer

3. Image super-resolution using very deep residual channel attention networks;zhang;Proceedings of the Springer European Conference on Computer Vision (ECCV),0

4. Zoom to Learn, Learn to Zoom

5. CrossNet: An End-to-End Reference-Based Super Resolution Network Using Cross-Scale Warping

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1. Asymmetric Stereo High Dynamic Range Imaging with Smartphone Cameras;Sensors;2024-09-10

2. Bidirectional recurrent deformable alignment network for video super-resolution;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

3. Kernel adaptive memory network for blind video super-resolution;Expert Systems with Applications;2024-03

4. Efficient Hybrid Zoom Using Camera Fusion on Mobile Phones;ACM Transactions on Graphics;2023-12-05

5. LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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