u/AgnesW_35

Image 1 — Gemini 3.5 Flash did deblur the photo — but it reinvented the scene too
Image 2 — Gemini 3.5 Flash did deblur the photo — but it reinvented the scene too

Gemini 3.5 Flash did deblur the photo — but it reinvented the scene too

Tested Gemini 3.5 Flash on an insanely motion-blurred street photo today.

What surprised me wasn’t even the deblurring itself, it was how confidently it reimagined the scene. It cleaned up the girl’s face pretty well, but also shifted cars around, changed the depth of the street, and casually added random pedestrians that literally weren’t there lol.

It almost feels less like photo restoration and more like the AI trying to guess what the scene should’ve looked like. Kinda fascinating tbh.

I ended up running the result through Aiarty Image Enhancer afterward just to reduce some of the extra artifacts and noise, but the interesting part was seeing how Gemini reconstructed the scene in the first place.

Kinda interesting seeing how good Gemini is at “understanding” blurry scenes, while dedicated reconstruction tools still seem better at keeping the actual image consistent.

Anyone else been testing Flash vision for restoration stuff yet?

u/AgnesW_35 — 1 day ago

Higher AI enhancement strength didn’t always produce more realistic results in my tests

I tested 2 strength settings in Aiarty Video Enhancer on the same clip — high vs medium.

high strength was sharper, but also introduced more artificial-looking texture, especially around highlights and shadows. medium strength actually looked more natural while still improving clarity.

what surprised me is that the strength setting didn’t behave like a simple intensity slider. higher strength didn’t just add “more enhancement”, it changed the overall look and realism of the footage sometimes.

before this i never paid much attention to the strength parameter in AI video enhancers, but now i’m wondering if most of these models have a kind of “sweet spot” where realism peaks before the image starts looking over-processed.

anyone else notice this with other AI video enhancement tools too?

u/AgnesW_35 — 10 days ago
▲ 12 r/canva

i might be late to this, but looks like Canva quietly removed the old Image Upscaler.

been messing with the new “Upscale” in Tools and a couple of replacement apps, but tbh the results feel… off. some pics come out over-smoothed or a bit blurry, and the resolution usually only goes up ~2x? maybe I’m using it wrong.

also tried a few external tools, like Aiarty’s image enhancer, just to compare, they handled some images a bit differently, tho obviously that’s outside Canva’s workflow.

i attached a quick comparison from what i tested, curious if anyone else is seeing the same thing.

Are you still sticking with Canva for upscaling, or exporting and doing it somewhere else now? curious what’s working for you rn.

u/AgnesW_35 — 16 days ago

I’ve been trying to optimize my video upscaling workflow lately, and I’ve seen people argue that doing a sequential 2x upscale (running it twice) gives a cleaner result than just jumping straight to 4x.

I decided to run a quick side-by-side test to see if it’s actually worth the extra time. Here is an example of the final result comparison:

https://preview.redd.it/4kto05n9soxg1.jpg?width=1498&format=pjpg&auto=webp&s=c1b92ed09ff8e7a4e59868da1562509c76ec3ce0

In my eyes, the 2x + 2x seems to handle the petal edges a bit more gracefully, it feels less "digital" than the Direct 4x. But since it effectively doubles the render time, I'm torn on whether the gain is significant enough for real-world projects.

What’s your take? For those of you doing high-res restoration (1080p to 4K), do you find the incremental quality gain of a 2-step process actually worth the massive hit to render time? Or does the difference become negligible anyway once YouTube or Vimeo applies its own compression?

I’m wondering if this 2-step approach is standard practice for you guys, or if I’m just over-analyzing pixels. I used Aiarty Video Enhancer for this test, but would love to know if people see the same behavior in Topaz Video AI or ESRGAN-based tools.

reddit.com
u/AgnesW_35 — 25 days ago