Stable Pose

Stable pose estimation focuses on accurately determining the three-dimensional orientation and position of objects or body parts, particularly in challenging scenarios like occlusion or complex movements. Current research emphasizes robust methods using various model architectures, including transformers, diffusion models, and neural radiance fields, often incorporating multi-modal data (e.g., RGB images, depth, audio, text) to improve accuracy and generalization. This field is crucial for advancements in robotics, augmented and virtual reality, human-computer interaction, and other applications requiring precise understanding of object or human pose in dynamic environments.