no code implementations • 18 Apr 2024 • Andrei Niculae, Andy Catruna, Adrian Cosma, Daniel Rosner, Emilian Radoi
We systematically evaluate the performance of our artifact correction model against a range of noisy surveillance data and demonstrate that our approach not only achieves improved pose estimation on low-quality surveillance footage, but also preserves the integrity of the pose estimation on high resolution footage.