HackerTube
HomeLongsLikedHistoryWatch laterCategoriesPlaylistsSettings

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

Two Minute Papers2 HN recommenders · recommended in 2 months, 2018-2019
YouTube
65K views · 8 years ago · explainer · dated

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.

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

Computer graphics & renderingMachine learning & deep learning#denoising#pathtracing#autoencoder#nvidia#real-timerendering

5 comments from Hacker News

@jonas212019 · in “Ray Tracing Denoising”

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

RecommendsView on HN
@kuzehanka2019 · in “Quake II RTX: Re-Engineering a Classic with Ray Tracing Effects on Vulkan”

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

CitesView on HN
@blooop2018 · in “Path Tracing vs. Ray Tracing (2016)”

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

CitesView on HN
@scrumption2018 · in “Nvidia announces RTX 2000 GPU series with ‘6x more performance’ and ray-tracing”

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

CitesView on HN
@halflings2018 · in “Neural scene representation and rendering”

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

RecommendsView on HN
Enhancing Photorealism Enhancement8:34

Enhancing Photorealism Enhancement

ISL and Collaborators
6.3M views • 5 years ago
Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #1185:26

Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118

Two Minute Papers
209K views • 9 years ago
This AI actually WORKS!!! - NVIDIA RTX Voice7:47

This AI actually WORKS!!! - NVIDIA RTX Voice

ShortCircuit
1.8M views • 6 years ago
A Style-Based Generator Architecture for Generative Adversarial Networks6:18

A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras FI
1.3M views • 7 years ago
CVPR 2018: Learning to See in the Dark3:31

CVPR 2018: Learning to See in the Dark

Chen Chen
190K views • 8 years ago
Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition57:57

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Stanford University School of Engineering
2.9M views • 9 years ago
NVIDIA RTX Real-Time Ray Tracing Tech Demo From Remedy Entertainment1:46

NVIDIA RTX Real-Time Ray Tracing Tech Demo From Remedy Entertainment

NVIDIA GeForce
497K views • 8 years ago
Dual Photography5:10

Dual Photography

mm648230
24K views • 17 years ago
But how do AI images and videos actually work? | Guest video by Welch Labs37:20

But how do AI images and videos actually work? | Guest video by Welch Labs

3Blue1Brown
2.2M views • 1 year ago
ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition3:21

ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition

QiPanComputerVision
571K views • 17 years ago
3D Gaussian Splatting! - Computerphile17:40

3D Gaussian Splatting! - Computerphile

Computerphile
273K views • 2 years ago
AI Language Models & Transformers - Computerphile20:39

AI Language Models & Transformers - Computerphile

Computerphile
354K views • 7 years ago
MarI/O - Machine Learning for Video Games5:58

MarI/O - Machine Learning for Video Games

SethBling
11.5M views • 11 years ago
Sparse Voxel Octree (SVO) Demo by Jon Olick4:45

Sparse Voxel Octree (SVO) Demo by Jon Olick

Zelexi
191K views • 17 years ago
Playing a Neural Network's version of GTA V: GAN Theft Auto17:08

Playing a Neural Network's version of GTA V: GAN Theft Auto

sentdex
766K views • 5 years ago
Face2Face: Real-time Face Capture and Reenactment of RGB Videos (CVPR 2016 Oral)6:36

Face2Face: Real-time Face Capture and Reenactment of RGB Videos (CVPR 2016 Oral)

Matthias Niessner
5M views • 10 years ago
Brigade 3.0 preview - Real-time path tracing2:13

Brigade 3.0 preview - Real-time path tracing

icelaglace
439K views • 12 years ago
CS231n Winter 2016: Lecture1: Introduction and Historical Context1:19:08

CS231n Winter 2016: Lecture1: Introduction and Historical Context

Andrej Karpathy
462K views • 10 years ago
Eulerian Video Magnification4:28

Eulerian Video Magnification

Miki Rubinstein
788K views • 14 years ago
3-Sweep: Extracting Editable Objects from a Single Photo, SIGGRAPH ASIA 20135:51

3-Sweep: Extracting Editable Objects from a Single Photo, SIGGRAPH ASIA 2013

Daniel CohenOr
2.3M views • 13 years ago