  Despite the recent success of single image-based 3D human pose and shape
estimation methods, recovering temporally consistent and smooth 3D human motion
from a video is still challenging. Several video-based methods have been
proposed; however, they fail to resolve the single image-based methods'
temporal inconsistency issue due to a strong dependency on a static feature of
the current frame. In this regard, we present a temporally consistent mesh
recovery system (TCMR). It effectively focuses on the past and future frames'
temporal information without being dominated by the current static feature. Our
TCMR significantly outperforms previous video-based methods in temporal
consistency with better per-frame 3D pose and shape accuracy. We also release
the codes. For the demo video, see https://youtu.be/WB3nTnSQDII. For the codes,
see https://github.com/hongsukchoi/TCMR_RELEASE.
