High-Resolution Deep Image Matting 1.背景 在实际应用中,图像抠图经常被用于尺寸为5000 × 5000甚至更高的HR图像。由于GPU内存等硬件限制,以往的深度学习方法无法直接处理HR图像。 适应这些方法的两种常见策略是对输入进行下采样或琐碎的基于patch的推理。前一种策略会导致大部分细节的丢失,而后一种策略会导致patch-...
matting系列论文笔记(一):Deep Image Matting 刚刚入了Image Matting的坑,后续会更新系列相关的文章。这个坑目前还没有人满为患,好的文章没有很多,综述文章也没有囊括比较新的方法。 论文链接: 2017 Deep Image Matting pytorch代码: https://github.com/foamliu/Deep-Image-Matting-PyTor...关于...
High-Resolution Deep Image Matting.Haichao YuNing XuZilong HuangYuqian ZhouHumphrey ShiNational Conference on Artificial Intelligence
In this work, we propose PP-Matting, a trimap-free architecture that can achieve high-accuracy natural image matting. Our method applies a high-resolution detail branch (HRDB) that extracts fine-grained details of the foreground with keeping feature resolution unchanged. Also, we propose a ...
【Translation】Robust High-Resolution Video Matting with Temporal Guidance Paper:https://arxiv.org/abs/2108.11515 Translate By :https://www.deepl.com/tr
论文的核心点:the recurrent architecture to exploit temporal information 优势:1)more coherent results: multi frames and their predictions; 2) matting robustness: the ambiguous scene from the previous frame; 3) learn more about the background (Background Matting) ...
a very low resolution (256x256) we need to run through a face restoration & super resolution model. Repeating this process a second time will make the video look even better. And if you want it to be the highest quality, you can add frame interpolation at the end to increase the fps....
The final quality may depend on the resolution of your image, the type of scene or object. UseU2-Net for hairsandTracer-B7 for general imagesand correct parameters. It is very important for final quality! Example images was taken by using U2-Net and FBA post-processing. ...
Real-Time High-Resolution Background Matting Real-Time High-Resolution Background Matting 论文链接:https://arxiv.org/pdf/2012.07810.pdf 发表出处:2020 CVPR 1.研究背景 虽然现在许多工具提供了背景替换功能,但是它们会在边界产生伪影,特别是在有细微细节的区域,比如头发或眼镜。 往往能在细微细节区域表现良好...
[深度学习从入门到女装]High-Resolution Representations for Labeling Pixels and Regions,程序员大本营,技术文章内容聚合第一站。