collaborators

5 papers

eess.IV2026

Streaming of rendered content with adaptive frame rate and resolution

Yaru Liu, Joseph G. March, Rafal K. Mantiuk

Streaming rendered content is an attractive way to bring high-quality graphics to billions of mobile devices that do not have sufficient rendering power. Existing solutions render…

cs.CV2026

X2HDR: HDR Image Generation in a Perceptually Uniform Space

Ronghuan Wu, Wanchao Su, Kede Ma +2

High-dynamic-range (HDR) formats and displays are becoming increasingly prevalent, yet state-of-the-art image generators (e.g., Stable Diffusion and FLUX) typically remain limited…

cs.HC2024

Resolution limit of the eye: how many pixels can we see?

Maliha Ashraf, Alexandre Chapiro, Rafał K. Mantiuk

As large engineering efforts go towards improving the resolution of mobile, AR and VR displays, it is important to know the maximum resolution at which further improvements bring n…

eess.IV2024

Perceptual Assessment and Optimization of HDR Image Rendering

Peibei Cao, Rafal K. Mantiuk, Kede Ma

High dynamic range (HDR) rendering has the ability to faithfully reproduce the wide luminance ranges in natural scenes, but how to accurately assess the rendering quality is relati…

cs.CV2024

ColorVideoVDP: A visual difference predictor for image, video and display distortions

Rafal K. Mantiuk, Param Hanji, Maliha Ashraf +2

ColorVideoVDP is a video and image quality metric that models spatial and temporal aspects of vision, for both luminance and color. The metric is built on novel psychophysical mode…