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ENTITY 3DPW

3DPW

PulseAugur coverage of 3DPW — every cluster mentioning 3DPW across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 7 TOTAL
  1. RESEARCH · CL_139313 ·

    DETRAM unifies human mesh recovery and tracking in single framework

    Researchers have developed DETRAM, a novel end-to-end framework for human mesh recovery and tracking in multi-person video scenes. This unified approach simultaneously detects, reconstructs, and tracks individuals, over…

  2. TOOL · CL_118036 ·

    New framework Again-Pose enhances 3D human pose reconstruction in challenging video conditions

    Researchers have developed a new framework called Again-Pose to improve the reconstruction of 3D human poses from videos, particularly in challenging conditions like severe motion blur and occlusion. This method reformu…

  3. RESEARCH · CL_70555 ·

    IMPose tool streamlines multi-person pose annotation

    Researchers have developed IMPose, an interactive tool designed to streamline the process of annotating multi-person human poses in videos. This system utilizes a novel dual-level tracking mechanism that propagates corr…

  4. RESEARCH · CL_50626 ·

    MuNet advances 3D human reconstruction with novel mutualistic network

    Researchers have introduced MuNet, a novel mutualistic network designed to jointly perform 3D human mesh recovery and 3D clothed human reconstruction from single images. This unified framework leverages the interdepende…

  5. TOOL · CL_25789 ·

    VIMCAN network fuses Mamba and attention for real-time 3D human pose estimation

    Researchers have developed VIMCAN, a novel hybrid network for visual-inertial 3D human pose estimation. This architecture integrates Mamba's efficient sequence modeling with Cross-Attention's spatial reasoning capabilit…

  6. RESEARCH · CL_20307 ·

    New AI models InterMesh and Anny-Fit advance 3D human pose and shape recovery

    Researchers have developed InterMesh, a new framework for multi-person human mesh recovery that explicitly incorporates human-environment interaction information. This approach enhances pose and shape estimation by enri…

  7. RESEARCH · CL_06536 ·

    Researchers develop LatentStealth for unnoticeable adversarial attacks on human pose estimation

    Researchers have developed a new adversarial attack method called LatentStealth, designed to exploit vulnerabilities in human pose and shape estimation models. Unlike previous methods that create visually obvious altera…