pose control

**Pose control** is the **generation control technique that uses skeletal keypoints or pose maps to constrain human or object posture** - it enables consistent body configuration across styles and prompts. **What Is Pose control?** - **Definition**: Pose keypoints describe joint locations that guide structural placement of limbs and torso. - **Representations**: Common inputs include OpenPose skeletons, dense pose maps, or custom rig formats. - **Scope**: Used in character generation, fashion visualization, and motion-consistent frame creation. - **Constraint Level**: Pose maps constrain geometry while prompt and style tokens control appearance. **Why Pose control Matters** - **Anatomy Consistency**: Reduces malformed limbs and unrealistic posture errors. - **Creative Direction**: Allows explicit choreography and composition control in human-centric scenes. - **Batch Consistency**: Maintains pose templates across multiple style variants. - **Production Utility**: Important for animation pipelines and avatar generation systems. - **Failure Risk**: Noisy or incomplete keypoints can produce distorted anatomy. **How It Is Used in Practice** - **Keypoint QA**: Validate missing joints and confidence scores before inference. - **Strength Tuning**: Balance pose adherence against prompt-driven style flexibility. - **Reference Checks**: Use anatomy-focused validation prompts for regression testing. Pose control is **the main structure-control method for human pose generation** - pose control succeeds when clean keypoints and calibrated control weights are used together.