2 papers
cs.CV2026
InHabit: Leveraging Image Foundation Models for Scalable 3D Human Placement
Nikita Kister, Pradyumna YM, István Sárándi +3
Training embodied agents to understand 3D scenes as humans do requires large-scale data of people meaningfully interacting with diverse environments, yet such data is scarce. Real-…
cs.CV2026
Are Pose Estimators Ready for the Open World? STAGE: A GenAI Toolkit for Auditing 3D Human Pose Estimators
Nikita Kister, István Sárándi, Jiayi Wang +2
For safety-critical applications, it is crucial to audit 3D human pose estimators before deployment. Will the system break down if the weather or the clothing changes? Is it robust…