ESRGAN Paper Walkthrough

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Timestamps:
  1. Aladdin Persson
Рекомендации по теме
ESRGAN Paper Walkthrough 0:22:39

ESRGAN Paper Walkthrough

Upscale your Images 0:21:24

Upscale your Images using DEEP SUPER RESOLUTION with ESRGAN

This paper is 0:00:18

This paper is doing super-resolution without any training! #shorts

How Super Resolution 0:09:29

How Super Resolution Works

ESRGAN implementation from 0:34:52

ESRGAN implementation from scratch

How to train 0:30:05

How to train an Real-ESRGAN Compact (SRVGGNet) model

Unleashing the Power 0:26:14

Unleashing the Power of SRGAN and ESRGAN: Revolutionizing Image Super-Resolution | Practical Demo

With this new 0:00:45

With this new AI -ESRGAN #viral #shorts

A brief introduction 0:08:32

A brief introduction to Real-ESRGAN

[Boaz SR] ESRGAN 0:00:59

[Boaz SR] ESRGAN Result Video 4 : 144p → 576p

What are GANs 0:08:23

What are GANs (Generative Adversarial Networks)?

Demonstration of Video 0:03:14

Demonstration of Video Enhancement by 'RIFE' & 'Real-ESRGAN'

ESRGAN | Lecture 0:08:14

ESRGAN | Lecture 69 (Part 2) | Applied Deep Learning (Supplementary)

Best AI Anime 0:10:08

Best AI Anime Upscaler 2022

14-GFP GAN Paper 0:15:49

14-GFP GAN Paper (Published by Tencent ) with Python code to restore resolution of old Photos

Anime Image Enhance 0:06:09

Anime Image Enhance AI Has Gone To The Next Level [Real-ESRGAN]

ESRGAN Result Video 0:00:59

ESRGAN Result Video 1 : 144p → 576p

AI Upscale Batch 0:00:57

AI Upscale Batch 2: Esrgan Pytorch

SRGAN Implementation on 0:17:24

SRGAN Implementation on Custom dataset | Super Resolution GAN

[Boaz SR] ESRGAN 0:00:54

[Boaz SR] ESRGAN Result Video 2 : 144p → 576p

ESRGAN Result Video 0:00:46

ESRGAN Result Video 3 : 90p → 360p

Real-ESRGAN – Улучшение качества 0:24:15

Real-ESRGAN – Улучшение качества изображения (super resolution)

255 - Single 0:29:23

255 - Single image super resolution​ using SRGAN

[Boaz SR] ESRGAN 0:00:59

[Boaz SR] ESRGAN Result Video 4 : 270p → 1080p

Комментарии
Автор

Made this video a while ago but never uploaded it. Not sure why I didn't, but found it now and figured I'd upload it now at least:)

AladdinPersson
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I really enjoyed your view on a lot of the added features. Thanks for sharing your opinion on this paper, learned a lot!

manolisnikolakakis
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Maybe they recommend using Matlab's bicubic downsampling because it is using a proper antialiasing. is using antialiasing only in bilinear mode. Still, sounds quite limiting. In the wild, there is no guarantee that image we want to upscale was created by downsampling using any particular method. It could be straight from a sensor and processed by denoising and sharpening algorithms. I wonder, how that affects performance of already trained network?

piotrts
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Thank you very much for your help. Just to know do you have in mind to explain also the architecture called MMTrans? It is from the paper Swin Transformer-based GAN for multi-modal medical image transaltion

amburghermozzarella
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I tried reading this paper in past, but I had not the patience to go back and forth trying to figure out the missing parts.
Papers should be more much direct and didactic than they are.
I know the objective of a paper is not the same from a book, but they skip so much content that, if you are out the research group, you need to reverse engineer from the paper and from the source when it exists


Thank you for your patience and time for this video again!

Ps. Please. Would you mind telling what is the pdf tool you are using to mark and draw over the text?

motbus
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Can you please do the HydraNet implementation? the one that was mentioned in tesla AI day 2021?

koushiks
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Can you please do videos for StyleGAN paper walkthrough and implementation from scratch, your videos are very good and help me understand.

IndraT
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please do a Deblur GAN implementation too!

deoabhijit