Seungjun Nah | DeepAI

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∙ 11/02/2022

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Large-scale diffusion-based generative models have led to breakthroughs ...

0 Yogesh Balaji, et al. ∙

∙ 07/21/2022

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

Despite breakthrough advances in image super-resolution (SR) with convol...

0 Cheeun Hong, et al. ∙

∙ 04/26/2022

Attentive Fine-Grained Structured Sparsity for Image Restoration

Image restoration tasks have witnessed great performance improvement in ...

8 Junghun Oh, et al. ∙

∙ 03/30/2022

Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention

Video deblurring models exploit information in the neighboring frames to...

0 JoonKyu Park, et al. ∙

∙ 03/12/2022

Recurrence-in-Recurrence Networks for Video Deblurring

State-of-the-art video deblurring methods often adopt recurrent neural n...

0 JoonKyu Park, et al. ∙

∙ 04/30/2021

NTIRE 2021 Challenge on Image Deblurring

Motion blur is a common photography artifact in dynamic environments tha...

0 Seungjun Nah, et al. ∙

∙ 04/30/2021

NTIRE 2021 Challenge on Video Super-Resolution

Super-Resolution (SR) is a fundamental computer vision task that aims to...

11 Sanghyun Son, et al. ∙

∙ 04/26/2021

Clean Images are Hard to Reblur: A New Clue for Deblurring

The goal of dynamic scene deblurring is to remove the motion blur presen...

12 Seungjun Nah, et al. ∙

∙ 09/28/2020

AIM 2020 Challenge on Video Temporal Super-Resolution

Videos in the real-world contain various dynamics and motions that may l...

11 Sanghyun Son, et al. ∙

∙ 05/04/2020

NTIRE 2020 Challenge on Image and Video Deblurring

Motion blur is one of the most common degradation artifacts in dynamic s...

7 Seungjun Nah, et al. ∙

∙ 05/04/2020

AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results

Videos contain various types and strengths of motions that may look unna...

1 Seungjun Nah, et al. ∙

∙ 07/10/2017

Enhanced Deep Residual Networks for Single Image Super-Resolution

Recent research on super-resolution has progressed with the development ...

0 Bee Lim, et al. ∙

∙ 12/07/2016

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

Non-uniform blind deblurring for general dynamic scenes is a challenging...

0 Seungjun Nah, et al. ∙

∙ 03/14/2016

Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model

State-of-the-art video deblurring methods cannot handle blurry videos re...

0 Tae Hyun Kim, et al. ∙

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