Search Results for author: Alan Bovik

Found 10 papers, 5 papers with code

GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures

no code implementations28 Nov 2023 Sai Karthikey Pentapati, Anshul Rai, Arkady Ten, Chaitanya Atluru, Alan Bovik

Towards filling these gaps, we introduce GeoScaler, which is a method of downsampling texture maps of 3D meshes while incorporating geometric cues, and by maximizing the visual fidelity of the rendered views of the textured meshes.

Telepresence Video Quality Assessment

no code implementations20 Jul 2022 Zhenqiang Ying, Deepti Ghadiyaram, Alan Bovik

Video conferencing, which includes both video and audio content, has contributed to dramatic increases in Internet traffic, as the COVID-19 pandemic forced millions of people to work and learn from home.

2k Video Quality Assessment

Pik-Fix: Restoring and Colorizing Old Photos

1 code implementation4 May 2022 Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan Bovik, Hongkai Yu

Our proposed framework consists of three modules: a restoration sub-network that conducts restoration from degradations, a similarity network that performs color histogram matching and color transfer, and a colorization subnet that learns to predict the chroma elements of images conditioned on chromatic reference signals.


MaxViT: Multi-Axis Vision Transformer

14 code implementations4 Apr 2022 Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li

We also show that our proposed model expresses strong generative modeling capability on ImageNet, demonstrating the superior potential of MaxViT blocks as a universal vision module.

Image Classification object-detection +1

MAXIM: Multi-Axis MLP for Image Processing

1 code implementation CVPR 2022 Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li

In this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks.

Deblurring Image Deblurring +6

FOVQA: Blind Foveated Video Quality Assessment

no code implementations24 Jun 2021 Yize Jin, Anjul Patney, Richard Webb, Alan Bovik

Previous blind or No Reference (NR) video quality assessment (VQA) models largely rely on features drawn from natural scene statistics (NSS), but under the assumption that the image statistics are stationary in the spatial domain.

Video Compression Video Quality Assessment +1

Evaluating Foveated Video Quality Using Entropic Differencing

no code implementations12 Jun 2021 Yize Jin, Anjul Patney, Alan Bovik

To reduce stresses on bandwidth, foveated video compression is regaining popularity, whereby the space-variant spatial resolution of the retina is exploited.

Foveation Image Quality Assessment +1

Patch-VQ: 'Patching Up' the Video Quality Problem

1 code implementation CVPR 2021 Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan Bovik

No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications.

Ranked #10 on Video Quality Assessment on LIVE-FB LSVQ (using extra training data)

Video Quality Assessment Visual Question Answering (VQA)

180-degree Outpainting from a Single Image

no code implementations13 Jan 2020 Zhenqiang Ying, Alan Bovik

Two networks are trained separately, and then are employed jointly to sequentially perform narrow-to-90{\deg} generation and 90{\deg}-to-180{\deg} generation.

Image Generation

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

2 code implementations CVPR 2020 Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan Bovik

Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily.

Blind Image Quality Assessment Video Quality Assessment

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