David Serrano-Lozano
PhD student · Computer Vision Center, UAB · Barcelona
Hola! I work on making current AI models more interactive.
I'm a PhD student at the Computer Vision Center, Universitat Autònoma de Barcelona, advised by Javier Vazquez-Corral and Luis Herranz. My research is on controllable, interpretable image editing, especially of color and illumination. I've built methods that let users edit tone curves tied to color names (NamedCurves, ECCV 2024 & TPAMI 2026), correct the illumination in multi-illuminant scenes (MultiWB, ICCV 2025), relight several images of a scene with a single edit (SyncLight, NeurIPS 2026), and use sliders where each step looks like the same amount of change (UniSlider, 2026). I also enjoy working on computational photography and robotics.
You can play with some of my methods on my photo.
I've been a research intern at Adobe Research London with Anna Frühstück, and a visiting researcher in Jean-François Lalonde's lab at Université Laval, Quebec. I've also been lucky to work with Michael S. Brown, Kosta Derpanis, Anand Bhattad, Yannick Hold-Geoffroy, Iliyan Georgiev and Duygu Ceylan.