THE VIDEO SHELF · neural denoising for ray tracing
AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215
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 HN readers recommended it
Cited as an accessible explanation of AI denoising, which underpins real-time ray tracing on RTX hardware.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Two Minute Papers
- Topic
- neural denoising for ray tracing
- Format
- explainer
- Level
- general
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 5
- Recommendation years in dataset
- 2018–2019
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
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] …
halflings on Hacker News · 2018-06
In Neural scene representation and renderingIt's only briefly mentioned, but NVIDIA's recurrent denoising autoencoder is pretty amazing. [LINK] Two Minute Papers did a nice explanation of it: [VIDEO]
jonas21 on Hacker News · 2019-09
In Ray Tracing Denoising
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.