Papers with Code · CC BY-SA 4.0
2D Human Pose Estimation
What is Human Pose Estimation? Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The reason for its importance is the abundance of applications that can benefit from such a technology. For example, human pose estimation allows for higher-level reasoning in the context of human-computer interaction and activity recognition; it is also one of the basic building blocks for marker-less motion capture (MoCap) technology. MoCap technology is useful for applications ranging from character animation to clinical analysis of gait pathologies.
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50개MSU Super-Resolution for Video CompressionMSU Video Upscalers: Quality EnhancementMSU Video Super Resolution Benchmark: Detail RestorationVid4 - 4x upscalingVid4 - 4x upscaling - BD degradationCOCO-WholeBodyOCHumanHuman-ArtEPIC-KITCHENS-100EPIC-KITCHENS-100 (test)EPIC-KITCHENS-55 (Seen test set (S1))EPIC-KITCHENS-55 (Unseen test set (S2)REDS4- 4x upscalingStyleBenchUDM10 - 4x upscalingBEAT2Biwi 3D Audiovisual Corpus of Affective Communication - B3D(AC)^2JHMDB (2D poses only)PoPArtUltra Video Group HD - 4x upscalingEGTEAFalling ObjectsTbDTbD-3DVimeo90KXiph HD - 4x upscalingAssembly101EgoExoLearnVOCASETWikiArt