1 code implementation • 21 Jan 2024 • Rafal K. Mantiuk, Param Hanji, Maliha Ashraf, Yuta Asano, ALEXANDRE CHAPIRO
ColorVideoVDP is a video and image quality metric that models spatial and temporal aspects of vision, for both luminance and color.
no code implementations • 20 Nov 2023 • Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Oztireli
The improvement in generation quality and diversity is achieved through (1) a novel frequency rectification via spherical harmonics designed to retain high-frequency content while learning the point cloud distribution; and (2) a latent DDPM to learn the regularized yet complex latent distribution.
1 code implementation • 5 Aug 2023 • Param Hanji, Rafał K. Mantiuk
When pixel values are represented in the logarithmic domain, the problem can be solved efficiently using a linear solver.
no code implementations • 26 Apr 2023 • Rafal K. Mantiuk, Dounia Hammou, Param Hanji
High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, prediction of visual differences between a pair of images, or prediction of contrast distortions.
no code implementations • 24 Mar 2023 • Hanxue Liang, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafal Mantiuk, Cengiz Oztireli
We measured the quality of videos synthesized by several NVS methods in a well-controlled perceptual quality assessment experiment as well as with many existing state-of-the-art image/video quality metrics.
1 code implementation • 30 Sep 2022 • Aamir Mustafa, Param Hanji, Rafal K. Mantiuk
Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each representing a different style.
1 code implementation • ACM SIGGRAPH Conference Proceedings 2022 • Param Hanji, Rafał K. Mantiuk, Gabriel Eilertsen, Saghi Hajisharif, Jonas Unger
As the problem of reconstructing high dynamic range (HDR) images from a single exposure has attracted much research effort, it is essential to provide a robust protocol and clear guidelines on how to evaluate and compare new methods.
1 code implementation • 19 Aug 2021 • Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger
Here, we reproduce a typical evaluation using existing as well as simulated SI-HDR methods to demonstrate how different aspects of the problem affect objective quality metrics.
1 code implementation • 16 Sep 2020 • Param Hanji, Fangcheng Zhong, Rafal K. Mantiuk
A near-optimal reconstruction of the radiance of a High Dynamic Range scene from an exposure stack can be obtained by modeling the camera noise distribution.