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04/06/2023
MULLER: Multilayer Laplacian Resizer for Vision
Image resizing operation is a fundamental preprocessing module in modern...
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03/24/2023
VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining
Assessing the aesthetics of an image is challenging, as it is influenced...
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03/20/2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Inversion by Direct Iteration (InDI) is a new formulation for supervised...
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03/20/2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Diffusion models have achieved remarkable success in text-to-image gener...
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03/13/2023
MRET: Multi-resolution Transformer for Video Quality Assessment
No-reference video quality assessment (NR-VQA) for user generated conten...
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12/04/2022
Image Deblurring with Domain Generalizable Diffusion Models
Diffusion Probabilistic Models (DPMs) have recently been employed for im...
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09/12/2022
Soft Diffusion: Score Matching for General Corruptions
We define a broader family of corruption processes that generalizes prev...
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04/04/2022
MaxViT: Multi-Axis Vision Transformer
Transformers have recently gained significant attention in the computer ...
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01/09/2022
MAXIM: Multi-Axis MLP for Image Processing
Recent progress on Transformers and multi-layer perceptron (MLP) models ...
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12/05/2021
Deblurring via Stochastic Refinement
Image deblurring is an ill-posed problem with multiple plausible solutio...
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10/15/2021
Solving Image PDEs with a Shallow Network
Partial differential equations (PDEs) are typically used as models of ph...
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08/12/2021
MUSIQ: Multi-scale Image Quality Transformer
Image quality assessment (IQA) is an important research topic for unders...
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04/27/2021
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
Digital watermarking is widely used for copyright protection. Traditiona...
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04/26/2021
DVMark: A Deep Multiscale Framework for Video Watermarking
Video watermarking embeds a message into a cover video in an imperceptib...
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04/03/2021
Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods
Image denoising and artefact removal are complex inverse problems admitt...
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03/25/2021
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
The non-local self-similarity property of natural images has been exploi...
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03/17/2021
Learning to Resize Images for Computer Vision Tasks
For all the ways convolutional neural nets have revolutionized computer ...
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03/06/2021
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
The vast work in Deep Learning (DL) has led to a leap in image denoising...
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03/01/2021
Deep Perceptual Image Quality Assessment for Compression
Lossy Image compression is necessary for efficient storage and transfer ...
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02/17/2021
Mobile Computational Photography: A Tour
The first mobile camera phone was sold only 20 years ago, when taking pi...
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12/16/2020
Polyblur: Removing mild blur by polynomial reblurring
We present a highly efficient blind restoration method to remove mild bl...
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12/16/2020
Projected Distribution Loss for Image Enhancement
Features obtained from object recognition CNNs have been widely used for...
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12/06/2020
Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data
Recent work has shown impressive results on data-driven defocus deblurri...
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11/21/2020
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
Conducting pairwise comparisons is a widely used approach in curating hu...
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08/03/2020
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
Handling digital images is almost always accompanied by a lossy compress...
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08/01/2020
Regularization by Denoising via Fixed-Point Projection (RED-PRO)
Inverse problems in image processing are typically cast as optimization ...
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06/24/2020
GIFnets: Differentiable GIF Encoding Framework
Graphics Interchange Format (GIF) is a widely used image file format. Du...
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03/04/2020
Creating High Resolution Images with a Latent Adversarial Generator
Generating realistic images is difficult, and many formulations for this...
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02/26/2020
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
In machine learning based single image super-resolution, the degradation...
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02/22/2020
Image Stylization: From Predefined to Personalized
We present a framework for interactive design of new image stylizations ...
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02/01/2020
Better Compression with Deep Pre-Editing
Could we compress images via standard codecs while avoiding artifacts? T...
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01/14/2020
Distortion Agnostic Deep Watermarking
Watermarking is the process of embedding information into an image that ...
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11/17/2019
Low-Weight and Learnable Image Denoising
Image denoising is a well studied problem with an extensive activity tha...
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09/28/2019
Deep K-SVD Denoising
This work considers noise removal from images, focusing on the well know...
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05/08/2019
Handheld Multi-Frame Super-Resolution
Compared to DSLR cameras, smartphone cameras have smaller sensors, which...
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03/25/2019
DeepRED: Deep Image Prior Powered by RED
Inverse problems in imaging are extensively studied, with a variety of s...
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04/23/2018
Rendition: Reclaiming what a black box takes away
The premise of our work is deceptively familiar: A black box f(·) has al...
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03/09/2018
Local Kernels that Approximate Bayesian Regularization and Proximal Operators
In this work, we broadly connect kernel-based filtering (e.g. approaches...
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02/16/2018
Fast, Trainable, Multiscale Denoising
Denoising is a fundamental imaging problem. Versatile but fast filtering...
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12/18/2017
Graphic Narrative with Interactive Stylization Design
We present a system to convert any set of images (e.g., a video clip or ...
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12/07/2017
Learned Perceptual Image Enhancement
Learning a typical image enhancement pipeline involves minimization of a...
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11/29/2017
BLADE: Filter Learning for General Purpose Computational Photography
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, ...
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09/15/2017
NIMA: Neural Image Assessment
Automatically learned quality assessment for images has recently become ...
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11/09/2016
The Little Engine that Could: Regularization by Denoising (RED)
Removal of noise from an image is an extensively studied problem in imag...
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09/26/2016
Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared Images
Pedestrian detection in thermal infrared images poses unique challenges ...
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09/10/2016
Style-Transfer via Texture-Synthesis
Style-transfer is a process of migrating a style from a given image to t...
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06/23/2016
Fast Multi-Layer Laplacian Enhancement
A novel, fast and practical way of enhancing images is introduced in thi...
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06/03/2016
