Computational Photography & HDR
Reconstructing high-dynamic-range scenes from ordinary cameras — tone mapping, multi-exposure fusion, and HDR video.
IIT Gandhinagar · Established 2013
We build algorithms that capture, reconstruct, and interpret the visual world — from a single ray of light to a full three-dimensional scene.
Prof. Shanmuganathan Raman · Principal Investigator
Professor & Head, Computer Science & Engineering · Professor, Electrical Engineering
About the lab
The CVIG Lab studies how images are formed, and how to invert that process to recover the scenes behind them. Our work spans the classical toolkit of geometry and light and the modern toolkit of deep learning — often solving the same problem twice to understand where each approach wins.
Based jointly in the Departments of Electrical Engineering and Computer Science & Engineering at IIT Gandhinagar, the group publishes across the leading venues in vision, graphics, and imaging, and holds patents on image fusion and 3D understanding.
What we work on
From forming an image to inverting it — our research runs the length of the imaging pipeline, classical methods first, learned methods second.
Reconstructing high-dynamic-range scenes from ordinary cameras — tone mapping, multi-exposure fusion, and HDR video.
Recovering shape, reflectance, and lighting from images through photometric stereo, polarization, and inverse scattering.
Learning geometry from points and views — point-cloud completion, mesh processing, and neural radiance fields.
Turning rendering into an optimization target — shadow art, anamorphic sculpture, and scribble-guided design.
Reading image structure — symmetry detection, saliency estimation, and content-aware retargeting.
Deep models for real tasks — image restoration, inpainting, EEG decoding, and generative image and video.
Selected work
A snapshot of recent papers across the group’s directions. The full record spans 140+ peer-reviewed papers.
The group
Principal Investigator · Professor & Head, CSE · Professor, EE, IIT Gandhinagar
Current Members
Latest
In the classroom
A graduate course spanning classical and learning-based vision — image formation and geometry through CNNs, transformers, and generative models.
Work with us
We look for curious students who like both the mathematics of vision and the craft of building systems. Prospective students can apply through IIT Gandhinagar’s internship and doctoral programmes.