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AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215

AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215 on HackerTube: recommended by 2 Hacker News commenters across 2 separate months, 2018–2019.

A Two Minute Papers episode on NVIDIA's recurrent denoising autoencoder, which cleans up noisy Monte Carlo path-traced image sequences. It shows how a neural network can produce usable renders from very few samples.

Why Hacker News recommends it

Cited as an accessible explanation of AI denoising, which underpins real-time ray tracing on RTX hardware.

people recommended it
2
separate months
2
strong recommendations
0
discussed on HN
2018–2019
“Two Minute Papers did a nice explanation of it”
— jonas21, Sep 2019, in “Ray Tracing Denoising”

What HN commenters said

5 Hacker News comments link this video. Each one links back to its thread.

jonas21Sep 2019Recommends

It's only briefly mentioned, but NVIDIA's recurrent denoising autoencoder is pretty amazing. [link] Two Minute Papers did a nice explanation of it: ▶ this video

in “Ray Tracing Denoising” · View on HN

halflingsJun 2018Recommends

Disney actually does a lot of research combining the world of graphics with deep learning. Some examples that you might appreciate (from the excellent channel "Two Minute Papers"): . "Disney's AI Learns To Render Clouds" [0] . "AI Learns Noise Filtering For Photorealistic Videos" [1] [0] [link] [1] ▶ this video

in “Neural scene representation and rendering” · View on HN

kuzehankaMar 2019Cites it

Deep learning denoiser. I don't know if NVIDIA came up with some marketing term for it. It's what allows RTX to produce meaningful images at all despite the renderer running at 0.5-2 samples per pixel which looks little better than random noise. I kind of assumed they'd call it DLDN because they called their deep learning supersampling DLSS. I guess not, go figure. ▶ this video

in “Quake II RTX: Re-Engineering a Classic with Ray Tracing Effects on Vulkan” · View on HN

blooopDec 2018Cites it

This uses a neural network ▶ this video video results start around 1:15 This one does not use a neural network: [link]

in “Path Tracing vs. Ray Tracing (2016)” · View on HN

scrumptionAug 2018Cites it

I don't think your estimations take into account the massive gains from AI denoising techniques such as ▶ this video

in “Nvidia announces RTX 2000 GPU series with ‘6x more performance’ and ray-tracing” · View on HN

Topics & tags

Computer graphics & renderingMachine learning & deep learningdenoisingpath tracingautoencodernvidiareal-time rendering