CIGPose blog asset sources

Prepared: 2026-09-07

All PNGs are figures or tables from the CIGPose paper or its official supplementary material. They are not new experimental results. The articles cite the original figure/table numbers and distinguish selected table rows from full results.

• Paper: Bohao Li, Zhicheng Cao, Huixian Li, Yangming Guo. CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation. CVPR 2026.
• Official repository: https://github.com/53mins/CIGPose
• Official paper landing page: https://openaccess.thecvf.com/content/CVPR2026/html/Li_CIGPose_Causal_Intervention_Graph_Neural_Network_for_Whole-Body_Pose_Estimation_CVPR_2026_paper.html
• Code analysis revision: b7444d83d6a47efb3a492039e2fcf9dd43b90498

Figures copied from the existing research notes

• figure-01-overview.png — paper Fig. 1
• figure-02-scm-and-cim.png — paper Fig. 2
• figure-03-confounder-score.png — paper Fig. 3
• figure-04-umap-canonical-embeddings.png — paper Fig. 4
• figure-06-qualitative-comparison.png — paper Fig. 6
• figure-07-posterior-distributions.png — supplement Fig. 7
• figure-08-failure-cases.png — supplement Fig. 8
• table-01-coco-wholebody-results.png — paper Table 1
• table-04-ablation.png — paper Table 4
• table-09-intervention-strategies.png — supplement Table 9

Re-extracted directly from the original paper PDF

PDF page numbers below are one-based file pages. Crop coordinates are PDF points, (left, top, right, bottom) from the top-left. Rasterization: 420 dpi with antialiasing using pdfplumber.

• figure-05-cigpose-architecture.png — paper Fig. 5, PDF page 5, crop (56, 375, 299, 516); caption supplied in the article.
• figure-05-hgnn-detail.png — detail of the same Fig. 5, PDF page 5, crop (56, 448, 299, 516); caption supplied in the article.

Original local research notes and PDFs were read without modification. Original labels, arrows, plots, and numerical values are retained.