Tools

Search

Explore

Videos Channels Figures

Atmrix

About

Tools

Search

Explore

Videos Channels Figures

Atmrix

About

CS

Carola Schönlieb

05/10/18

@ Y Combinator

The integration of handcrafted models with neural networks presents exciting opportunities for mathematicians to explore and improve image denoising techniques.

Video

YC

Mathematical Approaches to Image Processing with Carola Schönlieb

@ Y Combinator

Mathematical Approaches to Image Processing with Carola Schönlieb

05/10/18

Related Takeaways

CS

Carola Schönlieb

05/10/18

@ Y Combinator

While handcrafted models for image denoising are still relevant, deep neural networks are increasingly outperforming them in various scenarios.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Neural networks can struggle with images they haven't been trained on, highlighting the continued importance of handcrafted models in certain contexts.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Understanding the properties of handcrafted models can help inform the development of neural networks, particularly in terms of stability and performance.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

In using neural networks for problems like computer tomography, we are exploring how to combine handcrafted models with neural networks, particularly in how we feed them prior information.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Denoising is integrated into the image reconstruction process, addressing both the lack of data and the noise present in measurements.

JD

Jeff Dean

05/12/25

@ Sequoia Capital

The introduction of large neural networks has allowed us to solve complex problems in vision, speech, and language, shifting focus from traditional handcrafted approaches to machine learning.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

The goal in training a neural network for denoising images is to minimize the least squares error between the denoised and clean images across the training set.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Successful image denoising methods focus on preserving edges, which are crucial for maintaining the integrity of the image's features.

AW

Alexandr Wang

11/14/23

@ Accel

Models will get better at understanding and creating images, audio, and especially video, which will dramatically enhance how we interact with data.