  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.
