Pose Diffusion

Pose diffusion models leverage the power of diffusion probabilistic models to generate and manipulate images and 3D representations based on pose information. Current research focuses on improving the accuracy and realism of human pose generation in images and videos, addressing challenges like anatomical anomalies and occlusions, and extending applications to novel view synthesis and scene rearrangement. These advancements are significantly impacting fields like computer vision, graphics, and virtual reality by enabling more realistic and robust image generation, 3D modeling, and camera localization techniques. The development of large-scale datasets and novel training strategies are key to ongoing progress.