31 Dec 2014 • nagadomi/waifu2x • We further show that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network. Ranked #2 on Video Super-Resolution on Xiph HD - 4x upscaling IMAGE SUPER-RESOLUTION VIDEO SUPER-RESOLUTION 20, 957 Paper Code CVPR 2016 • alexjc/neural-enhance This means that the super-resolution (SR) operation is performed in HR space. Ranked #1 on 11, 118 23 Nov 2018 • thunil/TecoGAN Additionally, we propose a first set of metrics to quantitatively evaluate the accuracy as well as the perceptual quality of the temporal evolution. MOTION COMPENSATION VIDEO GENERATION 3, 399 7 May 2019 • open-mmlab/mmsr In this work, we propose a novel Video Restoration framework with Enhanced Deformable networks, termed EDVR, to address these challenges. Deblurring on REDS DEBLURRING VIDEO RESTORATION 1, 918 CVPR 2018 • thstkdgus35/EDSR-PyTorch The feed-forward architectures of recently proposed deep super-resolution networks learn representations of low-resolution inputs, and the non-linear mapping from those to high-resolution output.
Ranked #11 on Image Super-Resolution on BSD100 - 4x upscaling 1, 596 15 Apr 2021 • Mukosame/Zooming-Slow-Mo-CVPR-2020 A na\"ive method is to decompose it into two sub-tasks: video frame interpolation (VFI) and video super-resolution (VSR). VIDEO FRAME INTERPOLATION 582 CVPR 2020 Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network. Video Frame Interpolation on Vid4 - 4x upscaling CVPR 2019 • alterzero/RBPN-PyTorch We proposed a novel architecture for the problem of video super-resolution. Ranked #6 on 384 24 Nov 2017 • anchen1011/toflow Many video enhancement algorithms rely on optical flow to register frames in a video sequence. on Middlebury DENOISING MOTION ESTIMATION OPTICAL FLOW ESTIMATION VIDEO DENOISING VIDEO ENHANCEMENT 321 • YapengTian/TDAN-VSR-CVPR-2020 Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).
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