Unsupervised Human Pose Estimation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (13 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Feature Factorization For Concept Discovery
  26 Jun 2018 4 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)
  We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images.
• Unsupervised Human Pose Estimation through Transforming Shape Templates
  10 May 2021 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  Human pose estimation is a major computer vision problem with applications ranging from augmented reality and video capture to surveillance and movement tracking.
• Motion-supervised Co-Part Segmentation
  7 Apr 2020 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  To overcome this limitation, we propose a self-supervised deep learning method for co-part segmentation.
• Unsupervised Part-Based Disentangling of Object Shape and Appearance
  16 Mar 2019 2 repositories listed
  Large intra-class variation is the result of changes in multiple object characteristics.
• Unsupervised Keypoints from Pretrained Diffusion Models
  29 Nov 2023 1 repository listed Syntology ran 7 of 7 samples · 0 unverified
  Unsupervised learning of keypoints and landmarks has seen significant progress with the help of modern neural network architectures, but performance is yet to match the supervised counterpart, making their…
• AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
  21 May 2022 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  Our key ingredients are i) an encoder that predicts keypoint locations in an input image, ii) a shared graph as a latent variable that links the same pairs of keypoints in every image, iii) an intermediate edge map that…
• ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
  14 Dec 2021 1 repository listed
  Human pose estimation from single images is a challenging problem that is typically solved by supervised learning.
• Self-Supervised Keypoint Discovery in Behavioral Videos
  9 Dec 2021 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  We propose a method for learning the posture and structure of agents from unlabelled behavioral videos.
• GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
  2 Dec 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Segmenting an image into its parts is a frequent preprocess for high-level vision tasks such as image editing.
• LatentKeypointGAN: Controlling Images via Latent Keypoints
  29 Mar 2021 1 repository listed
  Generative adversarial networks (GANs) have attained photo-realistic quality in image generation.
• SCOPS: Self-Supervised Co-Part Segmentation
  3 May 2019 1 repository listed
  Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations.
• Unsupervised Discovery of Object Landmarks as Structural Representations
  12 Apr 2018 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Deep neural networks can model images with rich latent representations, but they cannot naturally conceptualize structures of object categories in a human-perceptible way.
• Unsupervised learning of object landmarks by factorized spatial embeddings
  5 May 2017 1 repository listed
  Learning automatically the structure of object categories remains an important open problem in computer vision.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.