最新
Fork 0 关注 0

本项目能够从原始视频迁移到新场景中,生成富有原视频特色的新视频场景。本项目首先从原始视频中检测关键点,在将原视频中的关键点与新场景中的关键点进行对齐,进而迁移到新场景中,生成更流畅、自然的视频。

原始仓库地址:https://github.com/aliaksandrsiarohin/first-order-model.git

浏览量:5 下载量:0 项目类别: 视频分析
about 1 month前更新

Demo code (MXNET) for: Deep reconstruction of least significant bits for bit-depth expansion --------------------------------- Abstract: Bit-depth expansion (BDE) is important for displaying a low bit-depth image in a high bit-depth monitor. Current BDE algorithms often utilize traditional methods to fill the missing least significant bits and suffer from multiple kinds of perceivable artifacts. In this paper, we present a deep residual network-based method for BDE. Based on the different properties of flat and non-flat areas, two channels are proposed to reconstruct these two kinds of areas, respectively. Moreover, a simple yet efficient local adaptive adjustment preprocessing is presented in the flat-area-channel. By combining the benefits of both the traditional debanding strategy and network-based reconstruction, the proposed method can further promote the subjective quality of the flat area. Experimental results on several image sets demonstrate that the proposed BDE network can obtain favorable visual quality as well as decent quantitative performance.

浏览量:1354 下载量:458 项目类别: 视频分析
7 months前更新
scanner C++
Fork 0 关注 0

**scanner**:有效的视频分析工具。 要了解更多关于Scanner的信息,请参阅(http://scanner.run/) 上的文档,查看各种示例应用程序,或者阅读SIGGRAPH 2018技术论文: "Scanner: Efficient Video Analysis at Scale"(http://graphics.stanford.edu/papers/scanner/)

原始仓库地址:https://github.com/scanner-research/scanner.git

浏览量:1415 下载量:895 项目类别: 视频分析
7 months前更新
clockwork-fcn Python
Fork 0 关注 0

本项目是用于视频的语义分割模型。目前基于图像的语义分割已经可以做到非常好,但是面对单帧观测不好,遮挡,运动模糊,光照不好等情况效果不好,而实际机器人在环境中是可以对环境进行连续长时间的观测,在时间上有很多的信息冗余,从数据融合的角度考虑,大量的数据冗余可以抵消观测中的噪声,所以理论上用视频做图像或者视觉任务应该比单帧能达到更好的效果。

原始仓库地址:https://github.com/shelhamer/clockwork-fcn.git

浏览量:0 下载量:0 项目类别: 视频分析
1 day前更新

ihub@pcl.ac.cn 鹏城实验室人工智能研究中心

版权所有:鹏城实验室    粤ICP备18066427号-6    Powerd by 国防科技大学Trustie