Shumian Xin 辛书冕

Project Indigo is an experimental iOS camera app for photography enthusiasts. It reached 1 million downloads in four weeks. I owned computational photography and generative AI features from problem definition through launch, defining success criteria and aligning stakeholders on quality and performance tradeoffs.

By synthesizing large-scale light fields from ordinary videos, we build an image bokeh dataset that enables joint focus and depth-of-field editing on any image, producing geometrically consistent bokeh with realistic, controllable defocus.

Diffusion-based refocus for practical post-capture editing, generating a perceptually consistent focal stack from a single defocused image, with emphasis on controllability, visual consistency, and workflow integration.

Single-shot defocus estimation and deblurring using dual-pixel sensors, jointly estimating a defocus map and reconstructing an all-in-focus image for robust post-capture effects under real-world capture conditions.

A theory of Fermat paths for non-line-of-sight shape reconstruction, enabling high-resolution recovery of occluded objects from indirect light transport measurements, with potential applications in robotics and autonomy, search and rescue, and inspection in obstructed environments.