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05/24/2023
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities
Diffusion Probabilistic Field (DPF) models the distribution of continuou...
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12/14/2022
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors
Conditional diffusion probabilistic models can model the distribution of...
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12/01/2022
VIDM: Video Implicit Diffusion Models
Diffusion models have emerged as a powerful generative method for synthe...
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08/24/2022
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models
Although many long-range imaging systems are designed to support extende...
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07/19/2022
Deep Semantic Statistics Matching (D2SM) Denoising Network
The ultimate aim of image restoration like denoising is to find an exact...
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04/19/2022
A comparison of different atmospheric turbulence simulation methods for image restoration
Atmospheric turbulence deteriorates the quality of images captured by lo...
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04/06/2022
Thermal to Visible Image Synthesis under Atmospheric Turbulence
In many practical applications of long-range imaging such as biometrics ...
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12/04/2021
LTT-GAN: Looking Through Turbulence by Inverting GANs
In many applications of long-range imaging, we are faced with a scenario...
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04/02/2021
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom
Deep Neural Network (DNN) based super-resolution algorithms have greatly...
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03/10/2021
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Two factors have proven to be very important to the performance of seman...
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01/05/2021
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Crowd counting is an important task that shown great application value i...
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08/30/2020
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Convolutional neural networks have been proven to be of great benefit fo...
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06/24/2020
Disentangle Perceptual Learning through Online Contrastive Learning
Pursuing realistic results according to human visual perception is the c...
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11/19/2019
HighEr-Resolution Network for Image Demosaicing and Enhancing
Neural-networks based image restoration methods tend to use low-resoluti...
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10/04/2018
Progressive Feature Fusion Network for Realistic Image Dehazing
Single image dehazing is a challenging ill-posed restoration problem. Va...
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10/03/2018
