2 papers
cs.CV2026
SesaHand: Enhancing 3D Hand Reconstruction via Controllable Generation with Semantic and Structural Alignment
Zhuoran Zhao, Xianghao Kong, Linlin Yang +3
Recent studies on 3D hand reconstruction have demonstrated the effectiveness of synthetic training data to improve estimation performance. However, most methods rely on game engine…
cs.CV2025
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
Zhuoran Zhao, Linlin Yang, Pengzhan Sun +2
Recent synthetic 3D human datasets for the face, body, and hands have pushed the limits on photorealism. Face recognition and body pose estimation have achieved state-of-the-art pe…