b'Radu Timofte'

research

∙ 09/21/2023

A Study of Forward-Forward Algorithm for Self-Supervised Learning

Self-supervised representation learning has seen remarkable progress in ...

0 Jonas Brenig, et al. ∙

research

∙ 08/08/2023

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study

Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot...

0 Juan Wen, et al. ∙

research

∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

research

∙ 07/13/2023

mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs

Modular vision-language models (Vision-LLMs) align pretrained image enco...

0 Gregor Geigle, et al. ∙

research

∙ 06/14/2023

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations

Vision-and-language (VL) models with separate encoders for each modality...

0 Gregor Geigle, et al. ∙

research

∙ 05/29/2023

Alignment-free HDR Deghosting with Semantics Consistent Transformer

High dynamic range (HDR) imaging aims to retrieve information from multi...

0 Steven Tel, et al. ∙

research

∙ 05/19/2023

Equivariant Multi-Modality Image Fusion

Multi-modality image fusion is a technique used to combine information f...

0 Zixiang Zhao, et al. ∙

research

∙ 05/17/2023

Object Segmentation by Mining Cross-Modal Semantics

Multi-sensor clues have shown promise for object segmentation, but inher...

0 Zongwei Wu, et al. ∙

research

∙ 05/15/2023

Denoising Diffusion Models for Plug-and-Play Image Restoration

Plug-and-play Image Restoration (IR) has been widely recognized as a fle...

0 Yuanzhi Zhu, et al. ∙

research

∙ 04/30/2023

StyleGenes: Discrete and Efficient Latent Distributions for GANs

We propose a discrete latent distribution for Generative Adversarial Net...

0 Evangelos Ntavelis, et al. ∙

research

∙ 04/20/2023

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results

In this report, we summarize the first NTIRE challenge on light field (L...

0 Yingqian Wang, et al. ∙

research

∙ 03/31/2023

Single Image Depth Prediction Made Better: A Multivariate Gaussian Take

Neural-network-based single image depth prediction (SIDP) is a challengi...

0 Ce Liu, et al. ∙

research

∙ 03/15/2023

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution

Guided depth map super-resolution (GDSR), as a hot topic in multi-modal ...

0 Zixiang Zhao, et al. ∙

research

∙ 03/14/2023

Graph Transformer GANs for Graph-Constrained House Generation

We present a novel graph Transformer generative adversarial network (GTG...

0 Hao Tang, et al. ∙

research

∙ 03/13/2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Multi-modality image fusion aims to combine different modalities to prod...

0 Zixiang Zhao, et al. ∙

research

∙ 03/12/2023

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

When enhancing low-light images, many deep learning algorithms are based...

0 Yuanhao Cai, et al. ∙

research

∙ 03/01/2023

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

The aim of this paper is to propose a mechanism to efficiently and expli...

0 Yawei Li, et al. ∙

research

∙ 02/13/2023

VA-DepthNet: A Variational Approach to Single Image Depth Prediction

We introduce VA-DepthNet, a simple, effective, and accurate deep neural ...

0 Ce Liu, et al. ∙

research

∙ 01/04/2023

Audio-Visual Efficient Conformer for Robust Speech Recognition

End-to-end Automatic Speech Recognition (ASR) systems based on neural ne...

0 Maxime Burchi, et al. ∙

research

∙ 12/10/2022

Source-free Depth for Object Pop-out

Depth cues are known to be useful for visual perception. However, direct...

0 Zongwei Wu, et al. ∙

research

∙ 11/30/2022

Knowledge Distillation based Degradation Estimation for Blind Super-Resolution

Blind image super-resolution (Blind-SR) aims to recover a high-resolutio...

0 Bin Xia, et al. ∙

research

∙ 11/26/2022

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

Multi-modality (MM) image fusion aims to render fused images that mainta...

0 Zixiang Zhao, et al. ∙

research

∙ 11/13/2022

Advancing Learned Video Compression with In-loop Frame Prediction

Recent years have witnessed an increasing interest in end-to-end learned...

0 Ren Yang, et al. ∙

research

∙ 10/17/2022

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results

This paper introduces the methods and the results of AIM 2022 challenge ...

6 Furkan Kınlı, et al. ∙

research

∙ 10/02/2022

Basic Binary Convolution Unit for Binarized Image Restoration Network

Lighter and faster image restoration (IR) models are crucial for the dep...

10 Bin Xia, et al. ∙

research

∙ 08/23/2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

This paper reviews the Challenge on Super-Resolution of Compressed Image...

0 Ren Yang, et al. ∙

research

∙ 06/29/2022

3D-Aware Video Generation

Generative models have emerged as an essential building block for many i...

21 Sherwin Bahmani, et al. ∙

research

∙ 06/23/2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment

This paper reports on the NTIRE 2022 challenge on perceptual image quali...

4 Jinjin Gu, et al. ∙

research

∙ 06/05/2022

Recurrent Video Restoration Transformer with Guided Deformable Attention

Video restoration aims at restoring multiple high-quality frames from mu...

4 Jingyun Liang, et al. ∙

research

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

0 Eduardo Pérez-Pellitero, et al. ∙

research

∙ 05/20/2022

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

In coded aperture snapshot spectral compressive imaging (CASSI) systems,...

0 Yuanhao Cai, et al. ∙

research

∙ 05/11/2022

Revisiting Random Channel Pruning for Neural Network Compression

Channel (or 3D filter) pruning serves as an effective way to accelerate ...

0 Yawei Li, et al. ∙

research

∙ 04/20/2022

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

In this paper, we summarize the 1st NTIRE challenge on stereo image supe...

7 Longguang Wang, et al. ∙

research

∙ 04/17/2022

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Existing leading methods for spectral reconstruction (SR) focus on desig...

4 Yuanhao Cai, et al. ∙

research

∙ 04/05/2022

Arbitrary-Scale Image Synthesis

Positional encodings have enabled recent works to train a single adversa...

0 Evangelos Ntavelis, et al. ∙

research

∙ 03/24/2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis

While recent years have witnessed a dramatic upsurge of exploiting deep ...

0 Kai Zhang, et al. ∙

research

∙ 03/20/2022

Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild

We propose a trainable Image Signal Processing (ISP) framework that prod...

25 Ardhendu Shekhar Tripathi, et al. ∙

research

∙ 03/09/2022

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Many algorithms have been developed to solve the inverse problem of code...

0 Jing Lin, et al. ∙

research

∙ 03/04/2022

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

The rapid development of deep learning provides a better solution for th...

8 Xiaowan Hu, et al. ∙

research

∙ 02/03/2022

Fast Online Video Super-Resolution with Deformable Attention Pyramid

Video super-resolution (VSR) has many applications that pose strict caus...

3 Dario Fuoli, et al. ∙

research

∙ 01/28/2022

VRT: A Video Restoration Transformer

Video restoration (e.g., video super-resolution) aims to restore high-qu...

0 Jingyun Liang, et al. ∙

research

∙ 01/24/2022

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Free-form inpainting is the task of adding new content to an image in th...

5 Andreas Lugmayr, et al. ∙

research

∙ 01/06/2022

Flow-Guided Sparse Transformer for Video Deblurring

Exploiting similar and sharper scene patches in spatio-temporal neighbor...

0 Jing Lin, et al. ∙

research

∙ 11/26/2021

Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

To achieve disentangled image manipulation, previous works depend heavil...

0 Zipeng Xu, et al. ∙

research

∙ 11/19/2021

Global and Local Alignment Networks for Unpaired Image-to-Image Translation

The goal of unpaired image-to-image translation is to produce an output ...

6 Guanglei Yang, et al. ∙

research

∙ 11/15/2021

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...

0 Yuanhao Cai, et al. ∙

research

∙ 11/05/2021

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution

Super-resolution is an ill-posed problem, where a ground-truth high-reso...

11 Andreas Lugmayr, et al. ∙

research

∙ 09/29/2021

Towards Flexible Blind JPEG Artifacts Removal

Training a single deep blind model to handle different quality factors f...

1 Jiaxi Jiang, et al. ∙

research

∙ 09/28/2021

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

Establishing robust and accurate correspondences between a pair of image...

14 Prune Truong, et al. ∙

research

∙ 09/07/2021

Perceptual Learned Video Compression with Recurrent Conditional GAN

This paper proposes a Perceptual Learned Video Compression (PLVC) approa...

0 Ren Yang, et al. ∙

Radu Timofte

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