Professor, Swiss Federal Institute of Technology
2 papers at NeurIPS 2025
We develop a variational approach to solve image inverse problems like super resolution, inpainting and deblurring for flow-based generative models.
We present UniVF, a unified video fusion framework with multi-frame learning; VF-Bench, the first benchmark covering four video fusion tasks; and a unified spatial–temporal evaluation protocol with a new temporal consistency loss.