Papers Unsupervised 3D Human Pose Estimation
“Unsupervised 3D Human Pose Estimation” 태그가 달린 논문 16편 · 필터 해제
Unsupervised 3D Human Pose Estimation via Conditional Multi-view Ancestral Sampling
We propose a method of estimating a 3D human pose from a single view without 3D supervision. The key to our method is to leverage the 2D diffusion priors of motion diffusion models (MDMs) pre-trained on large 2D human po…
Unsupervised 3D Human Pose Estimation3D Pose EstimationMask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
Automatic estimation of 3D human pose from monocular RGB images is a challenging and unsolved problem in computer vision. In a supervised manner, approaches heavily rely on laborious annotations and present hampered gene…
3D Pose EstimationDiversityPose EstimationUnsupervised 3D Human Pose EstimationLInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation
We present LInKs, a novel unsupervised learning method to recover 3D human poses from 2D kinematic skeletons obtained from a single image, even when occlusions are present. Our approach follows a unique two-step process,…
3D Human Pose EstimationAttributeDimensionality ReductionNormalising Flows+3Unsupervised 3D Keypoint Discovery with Multi-View Geometry
Analyzing and training 3D body posture models depend heavily on the availability of joint labels that are commonly acquired through laborious manual annotation of body joints or via marker-based joint localization using …
3D Human Pose EstimationKeypoint EstimationPose EstimationUnsupervised 3D Human Pose EstimationCLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem. However, cropping, their first step, discards…
3D human pose and shape estimation3D Human Pose EstimationHuman DetectionHuman Mesh Recovery+1Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
Although significant progress has been achieved on monocular maker-less human motion capture in recent years, it is still hard for state-of-the-art methods to obtain satisfactory results in occlusion scenarios. There are…
3D Human Pose EstimationUnsupervised 3D Human Pose EstimationNon-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Available 3D human pose estimation approaches leverage different forms of strong (2D/3D pose) or weak (multi-view or depth) paired supervision. Barring synthetic or in-studio domains, acquiring such supervision for each …
3D Human Pose EstimationDecoderPose EstimationRelation+2Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
The advances in monocular 3D human pose estimation are dominated by supervised techniques that require large-scale 2D/3D pose annotations. Such methods often behave erratically in the absence of any provision to discard …
3D Human Pose EstimationDomain AdaptationMonocular 3D Human Pose EstimationPose Estimation+3ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
Human pose estimation from single images is a challenging problem that is typically solved by supervised learning. Unfortunately, labeled training data does not yet exist for many human activities since 3D annotation req…
3D Human Pose EstimationPose EstimationUnsupervised 3D Human Pose EstimationUnsupervised Human Pose EstimationUnsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
Dance experts often view dance as a hierarchy of information, spanning low-level (raw images, image sequences), mid-levels (human poses and bodypart movements), and high-level (dance genre). We propose a Hierarchical Dan…
3D Pose EstimationPose EstimationUnsupervised 3D Human Pose EstimationVideo Recognition+1SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency
Recovering 3D human pose from 2D joints is still a challenging problem, especially without any 3D annotation, video information, or multi-view information. In this paper, we present an unsupervised GAN-based model consis…
3D Human Pose EstimationMonocular 3D Human Pose EstimationPose EstimationUnsupervised 3D Human Pose EstimationTowards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation
In this work, we study the ambiguity problem in the task of unsupervised 3D human pose estimation from 2D counterpart. On one hand, without explicit annotation, the scale of 3D pose is difficult to be accurately capt…
3D Human Pose EstimationMonocular 3D Human Pose EstimationPose EstimationUnsupervised 3D Human Pose EstimationInvariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
We propose a novel method based on teacher-student learning framework for 3D human pose estimation without any 3D annotation or side information. To solve this unsupervised-learning problem, the teacher network adopts po…
3D Human Pose EstimationKnowledge DistillationPose EstimationUnsupervised 3D Human Pose EstimationUnsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
We present a deployment friendly, fast bottom-up framework for multi-person 3D human pose estimation. We adopt a novel neural representation of multi-person 3D pose which unifies the position of person instances with the…
2D Pose Estimation3D Human Pose Estimation3D Multi-Person Pose Estimation3D Pose Estimation+4Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
Estimation of 3D human pose from monocular image has gained considerable attention, as a key step to several human-centric applications. However, generalizability of human pose estimation models developed using supervisi…
3D Human Pose Estimation3D Pose EstimationDisentanglementPose Estimation+1Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Camera captured human pose is an outcome of several sources of variation. Performance of supervised 3D pose estimation approaches comes at the cost of dispensing with variations, such as shape and appearance, that may be…
3D Human Pose Estimation3D Pose EstimationDisentanglementImage Generation+4