Occlusion is a common challenge in human pose estimation. Curiously, learning from
occluded keypoints hinders a model to detect visible keypoints. We speculate that the …

In this paper, SEPAM_HRNet, a high-resolution pose-estimation model that incorporates the
squeeze-and-excitation and pixel-attention-mask (SEPAM) module is proposed. Feature …

Conditional diffusion models can create unseen images in various settings, aiding image
interpolation. Interpolation in latent spaces is well-studied, but interpolation with specific …

Diffusion models, which utilize a multi-step denoising sampling procedure and leverage
extensive image-text pair datasets for training, have emerged as an innovative option …