论文标题
OPENDVC：DVC视频压缩方法的开源实现
OpenDVC: An Open Source Implementation of the DVC Video Compression Method
论文作者
论文摘要
我们在此技术报告中介绍了深视频压缩方法（DVC）方法的开源张量实现。 DVC是第一个端到端优化的学习视频压缩方法，比X265的低延迟P（LDP）的MS-SSIM性能更好，并且具有X265（LDP非常快）的PSNR性能非常快。在撰写此报告时，几种学到的视频压缩方法优于DVC，但目前均未提供开源代码。我们希望我们的OPENDVC代码能够为进一步开发提供有用的模型，并促进对学习视频压缩的未来研究。与仅针对PSNR进行了优化的原始DVC不同，我们不仅释放PSNR优化的重新实现，该重新实现由OPENDVC（PSNR）表示，还释放了MS-SSIM优化模型OPENDVC（MS-SSIM）。我们的OPENDVC（MS-SSIM）模型为MS-SSIM优化方法提供了更具说服力的基线，该方法只能与PSNR优化的DVC进行比较。 OPENDVC源代码和预培训模型将在https://github.com/renyang-home/opendvc上公开发布。
We introduce an open source Tensorflow implementation of the Deep Video Compression (DVC) method in this technical report. DVC is the first end-to-end optimized learned video compression method, achieving better MS-SSIM performance than the Low-Delay P (LDP) very fast setting of x265 and comparable PSNR performance with x265 (LDP very fast). At the time of writing this report, several learned video compression methods are superior to DVC, but currently none of them provides open source codes. We hope that our OpenDVC codes are able to provide a useful model for further development, and facilitate future researches on learned video compression. Different from the original DVC, which is only optimized for PSNR, we release not only the PSNR-optimized re-implementation, denoted by OpenDVC (PSNR), but also the MS-SSIM-optimized model OpenDVC (MS-SSIM). Our OpenDVC (MS-SSIM) model provides a more convincing baseline for MS-SSIM optimized methods, which can only compare with the PSNR optimized DVC in the past. The OpenDVC source codes and pre-trained models are publicly released at https://github.com/RenYang-home/OpenDVC.
