因此本工作为对齐模块提出了一个隐含的重采样操作(implicit re-sampling),具体来说它通过利用光流得到的offset来对特征窗口进行局部的cross-attention。不同于之前方法中的对目标帧进行显式地re-sampling,如通过插值获得亚像素特征值,本工作通过比较特征编码和位置编码的相似性得到一个亲和力矩阵affinity matrix,然后使用这...
macosmachine-learningmetalwaifu2xsuper-resolutionmacos-appcoremlvideo-super-resolutionwaifu2x-mac UpdatedJun 22, 2023 Swift HymEric/latest-development-of-ISR-VSR Star116 Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR abo...
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results Mingdeng Cao Chong Mou Fanghua Yu Xintao Wang Yinqiang Zheng Jian Zhang Chao Dong Gen Li Ying Shan Radu Timofte Xiaopeng Sun Weiqi Li Zhenyu...
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting Gen Li1,†, Jie Ji1,†, Minghai Qin†, Wei Niu2, Bin Ren2, Fatemeh Afghah1, Linke Guo1, Xiaolong Ma1 1Clemson University 2William & Mar...
Video super-resolution with temporal group attention, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Google Scholar [15] Isobe, T., Zhu, F., Jia, X., Wang, S., 2020c. Revisiting temporal modeling for video super-resolution. arXiv preprint ...
[CVPR 2024 Highlight]Enhancing Video Super-Resolution via Implicit Resampling-based Alignment. [Paper][Video] Kai Xu, Ziwei Yu, Xin Wang, Michael Bi Mi,Angela Yao Computer Vision and Machine Learning group, NUS. Results Installation We test the code for python-3.9, torch-1.13.1 and cuda-11....
Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution. In these methods, the low resolution (LR) input image is upscaled to the high resolution (HR) space using a ...
Recently, deep learning based video super-resolution (SR) methods have achieved promising performance. To simultaneously exploit the spatial and temporal information of videos, employing 3-dimensional (3D) convolutions is a natural approach. However, straight utilizing 3D convolutions may lead to an ...
Code and data release for the manuscript "Consistent Direct Time-of-Flight Video Depth Super-Resolution" (CVPR 2023) Zhanghao Sun,Wei Ye,Jinhui Xiong,Gyeongmin Choe,Jialiang Wang,Shuochen Su,Rakesh Ranjan. Project,Paper,Video,Dataset 03/16/2024: Added TEPE metric calculation in a demo noteboo...
[CVPR 2024 Highlight]Enhancing Video Super-Resolution via Implicit Resampling-based Alignment. [Paper][Video] Kai Xu, Ziwei Yu, Xin Wang, Michael Bi Mi,Angela Yao Computer Vision and Machine Learning group, NUS. Results Installation We test the code for python-3.9, torch-1.13.1 and cuda-11....