most citedLearning to Refocus with Video Diffusion Models

1 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV20251 cited

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…

cs.CV20251 cited

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…

cs.CV2025

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…

cs.CV2025

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…

eess.IV2025

Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns

SaiKiran Tedla, Abhijith Punnappurath, Luxi Zhao +1

Camera sensors have color filters arranged in a mosaic layout, traditionally following the Bayer pattern. Demosaicing is a critical step camera hardware applies to obtain a full-ch…

eess.IV2025

Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP

Trevor D. Canham, SaiKiran Tedla, Michael J. Murdoch +1

While most images shared on the web and social media platforms are encoded in standard dynamic range (SDR), many displays now can accommodate high dynamic range (HDR) content. Addi…