IKDP
Inverse kinematics through a diffusion process
Solving inverse kinematics with a conditional DDPM instead of a regression network.
- Proposed and implemented conditional-DDPM inverse kinematics.
- Engineered the training and inference pipeline for stable, constraint-aware IK generation.
- Outperformed IKNet by 14% and an MLP baseline by 84% in accuracy.