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09/21/2023
A Study of Forward-Forward Algorithm for Self-Supervised Learning
Self-supervised representation learning has seen remarkable progress in ...
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08/08/2023
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study
Super Resolution (SR) and Camouflaged Object Detection (COD) are two hot...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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07/13/2023
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Modular vision-language models (Vision-LLMs) align pretrained image enco...
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06/14/2023
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Vision-and-language (VL) models with separate encoders for each modality...
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05/29/2023
Alignment-free HDR Deghosting with Semantics Consistent Transformer
High dynamic range (HDR) imaging aims to retrieve information from multi...
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05/19/2023
Equivariant Multi-Modality Image Fusion
Multi-modality image fusion is a technique used to combine information f...
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05/17/2023
Object Segmentation by Mining Cross-Modal Semantics
Multi-sensor clues have shown promise for object segmentation, but inher...
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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...
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04/30/2023
StyleGenes: Discrete and Efficient Latent Distributions for GANs
We propose a discrete latent distribution for Generative Adversarial Net...
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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...
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03/31/2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
Neural-network-based single image depth prediction (SIDP) is a challengi...
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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 ...
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03/14/2023
Graph Transformer GANs for Graph-Constrained House Generation
We present a novel graph Transformer generative adversarial network (GTG...
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03/13/2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Multi-modality image fusion aims to combine different modalities to prod...
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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...
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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...
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02/13/2023
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
We introduce VA-DepthNet, a simple, effective, and accurate deep neural ...
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01/04/2023
Audio-Visual Efficient Conformer for Robust Speech Recognition
End-to-end Automatic Speech Recognition (ASR) systems based on neural ne...
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12/10/2022
Source-free Depth for Object Pop-out
Depth cues are known to be useful for visual perception. However, direct...
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11/30/2022
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
Blind image super-resolution (Blind-SR) aims to recover a high-resolutio...
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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...
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11/13/2022
Advancing Learned Video Compression with In-loop Frame Prediction
Recent years have witnessed an increasing interest in end-to-end learned...
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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 ...
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10/02/2022
Basic Binary Convolution Unit for Binarized Image Restoration Network
Lighter and faster image restoration (IR) models are crucial for the dep...
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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...
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06/29/2022
3D-Aware Video Generation
Generative models have emerged as an essential building block for many i...
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06/23/2022
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
This paper reports on the NTIRE 2022 challenge on perceptual image quali...
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06/05/2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
Video restoration aims at restoring multiple high-quality frames from mu...
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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)...
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05/20/2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems,...
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05/11/2022
Revisiting Random Channel Pruning for Neural Network Compression
Channel (or 3D filter) pruning serves as an effective way to accelerate ...
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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...
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04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
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04/05/2022
Arbitrary-Scale Image Synthesis
Positional encodings have enabled recent works to train a single adversa...
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03/24/2022
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis
While recent years have witnessed a dramatic upsurge of exploiting deep ...
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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...
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03/09/2022
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Many algorithms have been developed to solve the inverse problem of code...
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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...
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02/03/2022
Fast Online Video Super-Resolution with Deformable Attention Pyramid
Video super-resolution (VSR) has many applications that pose strict caus...
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01/28/2022
VRT: A Video Restoration Transformer
Video restoration (e.g., video super-resolution) aims to restore high-qu...
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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...
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01/06/2022
Flow-Guided Sparse Transformer for Video Deblurring
Exploiting similar and sharper scene patches in spatio-temporal neighbor...
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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...
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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 ...
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11/15/2021
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...
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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...
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09/29/2021
Towards Flexible Blind JPEG Artifacts Removal
Training a single deep blind model to handle different quality factors f...
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09/28/2021
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Establishing robust and accurate correspondences between a pair of image...
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09/07/2021