How Super Resolution Works 

This is one of the best videos I have seen so far related to super resolution. It explains a fantastic summary of many papers. Great work Leo!

Wow, love how you are explaining what techniques and what papers use them, along with excellent details of super-resolution its self.

damn, one of the best SRGAN & ECRGAN explanation vids out there! It was straight to the point and the way of explaining was flawless. Thanks!

One of the greatest, combined many courses with no realism to a daily operations using all of them theorems. Well done! :)

Thank you for this extensive review paper style video... It really helped me and I am sure it will also help every other undergrad like me who is looking to attempt Super Resolution. I have studied some papers online and was trying to figure out their place on the timeline and what are the current state-of-the-art architectures. I had also planned to investigate how all of this related to the famous Google Computational Photography but you have provided a fine overview... Thanks for the links... I will be looking forward to more of your videos...

I think I hit a gold mine by finding this channel

Your explanation is very concise and clear! It really helps me in my deep learning class. Thank you so much!

Awesome context, thank you for all of them. Great job!

I saw this video a year back with limited deep learning knowledge, but still understood the concepts at a higher level. I understood that super resolution is possible with deep neural networks. Now watching this video with more knowledge about different deep neural network architectures, gave me more understanding.

Your videos are always very interesting, thanks Leo

Thanks for this great summary video. Best updated video on this topic for sure!

Love your videos Leo. Please keep it up.

Just rushed into the topic and got scared by dense papers. Luckily I found this video and I feel much more familiar with the concept. Thank you for great summary and explanation!

This video is very effective for me. Thank You, Leo. You are the best👍

Nice! Gonna read up more on your references for this

nice very general view of the topic , we need more of this

The amazing thing is that this is only going to keep getting better as more people use it.

Enjoyed a lot! Thanks for the well-made video.

The explanation about Data Processioning inequity was super, thank you (Y)

Amazing summary, great video~!

Great summary! Thanks!!

Fantastic video ! Summarising some papers so good

Very nice overview ! Super-resolution is my ph.d researche field, and i am more interested in task-specific SR

Thanks for the input!

'Super' video of Super Resolution. 👌

Excellent video!

Give this man a medal.

Thanks Leo. You are best

Fantastic video, thank you for your great work. Love your channel! I've been wondering how AI upscaling is implemented so this came at a great time!

Nice!! Thanks for the sharing!!

Very clear, bro, thank u.

how interesting! thanks for your explanation :) I clicked the 'good' bb

You are the most underrated guy.... This is too much for me though 😅

outstanding !

Very good video ! I came to this from some Convolution Neural Network videos while I was googling AMDs new Super Resolution Feauture (competitor to nvidias DLSS). Also did anyone ever tell you that you look like Quentin Tarantino‘s son? :D

Very informative

thank you

Interesting results

That madr my head spin a bit. However it's cool !👍

4:16 I think it does, if the hair is moving in the wrong direction, and the picture is sharp enough, it will look distinctly machine-generated, so perceptually it does matter, but not _necessarily_ for noise reduction

Sir, can I do a super resolution project as my academic project,

If a game plays in native 4K is there any reason to even turn it on? Does it cause input lag if I do turn it on? I have it on low right now in game mode.

Can you make a video summarizing some methods of applying computational photography techniques to smartphone cameras? More specifically, approaches that allow for more manual inputs compared to the automatic features found in the Google Pixel devices. I would love to see a video centered around the idea of capturing sensor data with a smartphone camera with the intention of using resource intensive techniques on a separate more powerful computer to process the image.

thanks...

Does the procedure affect the respawn time?

I am incredibly intrigued by Super Resolution. And while it is a great descriptive explanation of what, Super Resolution is. Other than the academic bookwork. How am I to get this for my historic, VHS, 4 x 3 productions. However when cropping 260 line resolution, color under video to, 16 x 9. I'm reducing that 260 lines of resolution to something like, 175-200 lines of resolution. Along with the need to bump it to 1080 P at 16 x 9. And I have some interesting and pleasant results using Vegas video editor. But not to the extent of this Super Resolution, process. So I'm preparing to archive some videos of a former Metropolitan Opera star from the late 1940s. With videos of her from the 1980s on VHS. And which already contains an excellent hi-Fidelity soundtrack in stereo. And would be much nicer to make the video look professional and acceptable. So your explanation and description is great. How do I do it? How do I get it in video? One frame at a time? Like Photoshop? Or, because my mathematical aptitude sucks so badly. This might be out of the realm of my capabilities? And it will just have to look amateur VHS fuzzy. Until this process is refined and becomes a single click plug-in. In your choice of video editing software. But not quite there yet. Oh well. I'll just have to wait a long time to come before that happens. At least a month or two. And what kind of resolution will we see. If Donald Trump gets reelected? As clear as shit. That's what. Clearing the way for 4 more years of insane shit. I vote for Super Democracy Resolution. We need an enhanced democracy with increased resolution. And political transparency. If that were only possible? I'm going to vote for increased democratic resolution RemyRAD

I think you last point is critical. The purpose of the completed image determines which SR methods should be used. If it is an artistic endeavor the simple fact that it is a good looking plausible image is all the is needed. If your trying to visualize something for study or measurement at a higher resolution then it must be an accurate representation of the object. This is not something guaranteed through AI. But multiple frame super resolution does give an accurate higher resolution image. It might not look as good but it is not just a plausible solution it is an accurate solution to the increased resolution of the image. So grandmothers picture is appropriate for AI based SR, medical imaging is not.

there should be a super like option in RU-vid for contents like this

Can we avoid using the term 'hallucinate' to describe detail generation? Hallucination is conjuring up images without any external stimuli causing it. In the case of super resolution, you definitely need the current pixel information to determine what gets drawn in the inbetween space, and in the case of GAN, the model draws upon what images it was trained on to create those detail. None of these come out of 'nowhere', so by dictionary definition hallucinate is a wrong word to use. Some parties use the term 'dream' instead, and it's a bit more appropriate as it draws upon the knowledge/memory of the dreamer when making up its details.

Does implementation of super resolution in a very rudimentary way implementation of AI?

what if you put the upscaled image into the ESRGAN input and upscale again? INFINITE RESOLUTION!

In the gaming world, we don't use the esrgan model for real images, as assumed in the video, we have trained our own purpose-built models for different cases

Can't we just create synthetic burst of images to recreate google's one?

wow

what about video super resolution

This is fucking incredible

What's your view on the image processing experts in the Kyle Rittenhouse trial? I would love to see a review of the how accurate the expert advice was.

This video has only 5k views? wtf.

abi türk müsün

What happened to this channel???

The information in the training set does not count as information in the sense of data processing inequality. This is not actual super resolution; it's just educated guessing. All the details in *all* of these examples are completely made-up.

I like when somebody proudly speak about thinks he do not understand. Is it talking about gay resolution?