1 citations · 2 across the 9 of their papers we have counts for
8 papers · 1 filter
Dark3R: Learning Structure from Motion in the Dark
Andrew Y Guo, Anagh Malik, SaiKiran Tedla +7
We introduce Dark3R, a framework for structure from motion in the dark that operates directly on raw images with signal-to-noise ratios (SNRs) below dB -- a regime where conve…
Learning to Refocus with Video Diffusion Models
SaiKiran Tedla, Zhoutong Zhang, Xuaner Zhang +1
Focus is a cornerstone of photography, yet autofocus systems often fail to capture the intended subject, and users frequently wish to adjust focus after capture. We introduce a nov…
Generating the Past, Present and Future from a Motion-Blurred Image
SaiKiran Tedla, Kelly Zhu, Trevor Canham +4
We seek to answer the question: what can a motion-blurred image reveal about a scene's past, present, and future? Although motion blur obscures image details and degrades visual qu…
Towards Imperceptible Watermarking Via Environment Illumination for Consumer Cameras
Hodaka Kawachi, Tomoya Nakamura, Hiroaki Santo +4
This paper introduces a method for using LED-based environmental lighting to produce visually imperceptible watermarks for consumer cameras. Our approach optimizes an LED light sou…
Off the Planckian Locus: Using 2D Chromaticity to Improve In-Camera Color
SaiKiran Tedla, Joshua E. Little, Hakki Can Karaimer +1
Traditional in-camera colorimetric mapping relies on correlated color temperature (CCT)-based interpolation between pre-calibrated transforms optimized for Planckian illuminants su…
Improved Mapping Between Illuminations and Sensors for RAW Images
Abhijith Punnappurath, Luxi Zhao, Hoang Le +3
RAW images are unprocessed camera sensor output with sensor-specific RGB values based on the sensor's color filter spectral sensitivities. RAW images also incur strong color casts…
Multispectral Demosaicing via Dual Cameras
SaiKiran Tedla, Junyong Lee, Beixuan Yang +2
Multispectral (MS) images capture detailed scene information across a wide range of spectral bands, making them invaluable for applications requiring rich spectral data. Integratin…
Examining Autoexposure for Challenging Scenes
SaiKiran Tedla, Beixuan Yang, Michael S. Brown
Autoexposure (AE) is a critical step applied by camera systems to ensure properly exposed images. While current AE algorithms are effective in well-lit environments with constant i…