Video-Enhancement

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

By Yulun Zhang (yulun100@gmail.com), Yapeng Tian. (yapengtian@rochester.edu). If you have any suggestions, please contact us. Thanks!

Video Interpolation

Xiaoyu Xiang et al., Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution, CVPR, 2020. [Paper] [Code]
Huaizu Jiang et al., Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation, CVPR, 2018. [Paper]
Simon Niklaus et al., Context-aware Synthesis for Video Frame Interpolation, CVPR, 2018. [Paper]
Simone Meyer et al., PhaseNet for Video Frame Interpolation, CVPR, 2018. [Paper]
Tianfan Xue et al., Video Enhancement with Task-Oriented Flow, arXiv, 2017. [Paper] [Code]
Simon Niklaus et al., Video Frame Interpolation via Adaptive Separable Convolution, ICCV, 2017. [Paper] [Code]
Ziwei Liu et al., Video Frame Synthesis using Deep Voxel Flow, ICCV, 2017. [Paper]

Xiaoyu Xiang et al., Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution, CVPR, 2020. [Paper] [Code]
Xintao Wang, Kelvin C.K. Chan, Ke Yu, Chao Dong, Chen Change Loy. EDVR: Video Restoration with Enhanced Deformable Convolutional Networks, CVPRW, 2019. [Paper] [Code]
Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu. TDAN: Temporally Deformable Alignment Network for Video Super-Resolution, ArXiv, 2018. [Paper] [Demo] [Code]
Younghyun Jo et al., Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation, CVPR, 2018. [Paper]
Mehdi S. M. Sajjadi et al., Frame-Recurrent Video Super-Resolution, CVPR, 2018. [Paper]
Xin Tao et al., Detail-Revealing Deep Video Super-Resolution, ICCV, 2017. [Paper] [Code]
Ding Liu et al., Robust Video Super-Resolution With Learned Temporal Dynamics, ICCV, 2017. [Paper]
Renjie Liao et al., Video Super-Resolution via Deep Draft-Ensemble Learning, ICCV, 2015. [Paper] [Code]

Bihan Wen et al., Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising, ICCV, 2017. [Paper]

Seungjun Nah et al., Recurrent Neural Networks with Intra-Frame Iterations for Video Deblurring, CVPR, 2019. [Paper]
Wenqi Ren et al., Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel, ICCV, 2017. [Paper]
Tae Hyun Kim et al., Online Video Deblurring via Dynamic Temporal Blending Network, ICCV, 2017. [Paper]