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CVPR 2018: Learning to See in the Dark

Chen Chen · demo · Watch on YouTube

Computer vision, speech & NLPMachine learning & deep learning

What it is

A short video accompanying the CVPR 2018 paper Learning to See in the Dark. It shows a neural network producing sharp images from very low-light raw sensor data, compared against denoising approaches.

Why Hacker News recommends it

HN commenters flag it as a remarkable machine-learning result, notably for showing that training on raw images beats JPEG.

  • 1 people recommended it
  • 1 different months
  • 0 strong recommendations
  • first 2018, last 2020

What HN commenters said

  1. “Remarkable machine learning result for "producing astoundingly sharp photos in very low light”

    Remarkable low-light image enhancement result.

    isp, 2018-05 · Recommendation · in “Learning to See in the Dark”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: computer vision, raw images, denoising, cvpr, neural networks

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