Real-time superresolution Thanks to https://github.com/krasserm/super-resolution , whose code was used during development! Here is the script for real-time superresolution ising RTSR convolutional network Requirements You need a video card with support for cuda and cudnn (https://developer.nvidi...
Image Super-Resolution is one of the most popular computer vision problems due to its real-world applications: photography, gaming, generative AI, etc. The goal of the NTIRE 2023 Real-Time Super-Resolution Challenge is to upscale images in real-time at 30-60FPS using deep learning models and...
Perceptual losses for real-time style transfer and super-resolution,2016 ECCV https://cs.stanford.edu/people/jcjohns/eccv16/ 官方源码Torch:https://github.com/jcjohnson/fast-neural-style 其他程序Tensorflow:https://github.com/lengstrom/fast-style-transfer,实现细节略有不同 这篇主要讲一下感知损失在...
【论文读后感】:Perceptual Losses for Real-Time Style Transfer and Super-Resolution 摘要 本文解决《A neural algorithm of artistic style》一文中的问题,即图像风格转换。1.对于这种问题一般都是使用一个神经网络根据逐像素loss( per-pixel loss)来完成的。2.有研究表明基于从训练好的神经网络中提取出的高级图像...
1 https://github.com/HKUST-Aerial-Robotics/DenseSurfelMapping We use superpixels extracted from both intensity and depth images to model surfels in the system. Superpix-els enable our method to fuse low-quality depth maps. Run-time efficiency and memory efficiency are also gained by using super...
超分辨率(Super-Resolution)指通过硬件或软件的方法提高原有图像的分辨率,通过一系列低分辨率的图像来得到一幅高分辨率的图像过程。通俗的说就是在保持原图像清晰度不变的前提下,将图像放大。使用深度学习模型进行超分已经是比较常用的手段,而且深度学习模型又一个好处,可以在数据增强的时候对数据进行退化处理,在超分的...
深度学习论文: ICNet for Real-Time Semantic Segmentation on High-Resolution Images及其PyTorch实现 PDF: https://arxiv.org/pdf/1704.08545.pdf PyTorch: https://github.com/shanglianlm0525/PyTorch-Networks
Here we demonstrate a deep-learning-based CGH pipeline capable of synthesizing a photorealistic colour 3D hologram from a single RGB-depth image in real time. Our convolutional neural network (CNN) is extremely memory efficient (below 620 kilobytes) and runs at 60 hertz for a resolution of 1,...
Get real-time mocap data into Maya QTM connect for Maya QTM Connect for Maya includes functionality for real-time streaming of skeletons, 3D marker data and rigid bodies (6DOF) directly in Maya. Links QTM Connect for Maya on GitHub
Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices Xindong Zhang, Hui Zeng, Lei Zhang ACM Multimedia 2021 Codes An older version implemented based on EDSR is place on /legacy folder. For more details, please refer to /legacy/README.md. The following is the li...