#denoising — Public Fediverse posts

Someone at AI Research Roundup made a video about our SharpXR: Structure-Aware Denoising for Pediatric X-Rays
https://www.youtube.com/watch?v=UXFYh7GPDR4

#AI #MachineLearning #DeepLearning #MedicalImaging #Denoising #PediatricRadiology #ChestXRay

https://generativeai.pub/the-math-art-of-artist-0thernes-not-the-typical-96e009060bc1

"No Artist Tolerates Reality"

#aiart #ai_art #diffusion #denoising #latent_space #llm #dalle3 #firefly #grok #midjourney #krea #stable_diffusion #art #ai #artificial_intelligence #nft #prompting #prompts #chaos #improv #pinterest #instagram #DeviantArt #x #beeple

https://generativeai.pub/the-math-art-of-artist-0thernes-not-the-typical-96e009060bc1

"No Artist Tolerates Reality"

#aiart #ai_art #diffusion #denoising #latent_space #llm #dalle3 #firefly #grok #midjourney #krea #stable_diffusion #art #ai #artificial_intelligence #nft #prompting #prompts #chaos #improv #pinterest #instagram #DeviantArt #x #beeple

"To generate images, diffusion models use a process known as denoising. They convert an image into digital noise (an incoherent collection of pixels), then reassemble it. It’s like repeatedly putting a painting through a shredder until all you have left is a pile of fine dust, then patching the pieces back together. For years, researchers have wondered: If the models are just reassembling, then how does novelty come into the picture? It’s like reassembling your shredded painting into a completely new work of art.

Now two physicists have made a startling claim: It’s the technical imperfections in the denoising process itself that leads to the creativity of diffusion models. In a paper(opens a new tab) that will be presented at the International Conference on Machine Learning 2025, the duo developed a mathematical model of trained diffusion models to show that their so-called creativity is in fact a deterministic process — a direct, inevitable consequence of their architecture.

By illuminating the black box of diffusion models, the new research could have big implications for future AI research — and perhaps even for our understanding of human creativity. “The real strength of the paper is that it makes very accurate predictions of something very nontrivial,” said Luca Ambrogioni(opens a new tab), a computer scientist at Radboud University in the Netherlands."

https://www.quantamagazine.org/researchers-uncover-hidden-ingredients-behind-ai-creativity-20250630/

#AI #GenerativeAI #DiffusionModels #Denoising #Creativity

Aiarty Video Enhancer: Desktop AI Tool for Upscaling, Denoising & Deblurring – Faster Than Ever! https://petapixel.com/2025/06/13/aiarty-video-enhancer-desktop-ai-tool-for-upscaling-denoising-deblurring-faster-than-ever/ #VideoEnhancer #deblurring #Sponsored #Denoising #sponsored #upscaling #Software #editing #aiarty

Wait, three of the Technical Oscars went to different denoising algorithms? That seems like a lot. Maybe this should be a new category.

#AcademyAwards #oscars #MachineLearning #denoising

Audiotame: denoise and normalize audio via command line or Gradio Web UI. Demo available on Hugging Face

Repo: https://github.com/lvxvvv/audiotame

Demo: https://huggingface.co/spaces/lvxvvv/audiotame

#OpenSource #AudioProcessing #Denoising #Normalization #FOSS #ffmpeg #gradio #huggingface

Audiotame: denoise and normalize audio via command line or Gradio Web UI. Demo available on Hugging Face

Repo: https://github.com/lvxvvv/audiotame

Demo: https://huggingface.co/spaces/lvxvvv/audiotame

#OpenSource #AudioProcessing #Denoising #Normalization #FOSS #ffmpeg #gradio #huggingface

Audiotame: denoise and normalize audio via command line or Gradio Web UI. Demo available on Hugging Face

Repo: https://github.com/lvxvvv/audiotame

Demo: https://huggingface.co/spaces/lvxvvv/audiotame

#OpenSource #AudioProcessing #Denoising #Normalization #FOSS #ffmpeg #gradio #huggingface

A fully automated, faster noise rejection approach to increasing the analytical capability of chemical imaging for digital histopathology.
PLoS ONE 14(4): e0205219, 2019
https://doi.org/10.1371/journal.pone.0205219
#denoising #openaccess

'On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models', by Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh.

http://jmlr.org/papers/v25/22-1120.html

#hessian #denoising #likelihood

'Lifted Bregman Training of Neural Networks', by Xiaoyu Wang, Martin Benning.

http://jmlr.org/papers/v24/22-0934.html

#autoencoders #classifiers #denoising

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

Diffusion Models for Constrained Domains

Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson

Action editor: Rianne van den Berg.

https://openreview.net/forum?id=xuWTFQ4VGO

#diffusion #denoising #riemannian

Diffusion Models for Constrained Domains

Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson

Action editor: Rianne van den Berg.

https://openreview.net/forum?id=xuWTFQ4VGO

#diffusion #denoising #riemannian

Diffusion Models for Constrained Domains

Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson

Action editor: Rianne van den Berg.

https://openreview.net/forum?id=xuWTFQ4VGO

#diffusion #denoising #riemannian

Diffusion Models for Constrained Domains

Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson

Action editor: Rianne van den Berg.

https://openreview.net/forum?id=xuWTFQ4VGO

#diffusion #denoising #riemannian

Diffusion Models for Constrained Domains

Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson

Action editor: Rianne van den Berg.

https://openreview.net/forum?id=xuWTFQ4VGO

#diffusion #denoising #riemannian

Now the PhD is done, I'm spending these days digitising old family footage (VHS and other tape formats) 🤓

Any tips to restore/upscale old footage with minimal loss? Here is an image showing the low resolution available.

I've tried #nlmeans #denoising but it removes detail. If there's any open source AI solution for #upscaling, please let me know!
#film #upscale #superresolution #denoiser #VHS

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

Action editor: Jia-Bin Huang.

https://openreview.net/forum?id=VmyFF5lL3F

#denoising #restoration #deblurring

New #FeaturedCertification:

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

https://openreview.net/forum?id=VmyFF5lL3F

#denoising #restoration #deblurring

New #FeaturedCertification:

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

https://openreview.net/forum?id=VmyFF5lL3F

#denoising #restoration #deblurring

Soft Diffusion: Score Matching with General Corruptions

Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alex Dimakis, Peyman Milanfar

Action editor: Jonathan Scarlett.

https://openreview.net/forum?id=W98rebBxlQ

#denoising #corruptions #diffusion

#stableDiffusion #AI #txt2img
I have just finished this #experiment, in which 310 pictures have been generated with the same seed, only difference is the amount of samples, which increased progressively from 1 to 310.

These generations have then been upscaled using the realest-general-x4v3 upscaler model and #ComfyUI as software.

This the result:
https://youtu.be/hU4MyESWnm0

#AIart #denoising #Realesr #Dreamshaper

#stableDiffusion #AI #txt2img
I have just finished this #experiment, in which 310 pictures have been generated with the same seed, only difference is the amount of samples, which increased progressively from 1 to 310.

These generations have then been upscaled using the realest-general-x4v3 upscaler model and #ComfyUI as software.

This the result:
https://youtu.be/hU4MyESWnm0

#AIart #denoising #Realesr #Dreamshaper

#stableDiffusion #AI #txt2img
I have just finished this #experiment, in which 310 pictures have been generated with the same seed, only difference is the amount of samples, which increased progressively from 1 to 310.

These generations have then been upscaled using the realest-general-x4v3 upscaler model and #ComfyUI as software.

This the result:
https://youtu.be/hU4MyESWnm0

#AIart #denoising #Realesr #Dreamshaper

#stableDiffusion #AI #txt2img
I have just finished this #experiment, in which 310 pictures have been generated with the same seed, only difference is the amount of samples, which increased progressively from 1 to 310.

These generations have then been upscaled using the realest-general-x4v3 upscaler model and #ComfyUI as software.

This the result:
https://youtu.be/hU4MyESWnm0

#AIart #denoising #Realesr #Dreamshaper

Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role ...

Rishi Sonthalia, Raj Rao Nadakuditi

https://openreview.net/forum?id=FdMWtpVT1I

#denoising #generalization #shrinkage

Here's a idea for #AI #NLP #developers.

Create a #StableDiffusion dataset, which contains one #english word each pixel color, and a large set of images correlates which words are often used with each other.

Teach a diffusion set, with these words, then let #denoising find the answer to any text prompt, transforming pixels to words.

I know, it might sound stupid, but what a fun #experiment it would be.

Feel free to use my #idea. If it works, #attribute me 😁

Read our latest #realtime #denoising research!

"Weighted À-Trous Linear Regression (WALR) for Real-Time Diffuse Indirect Lighting Denoising" - a proposal for a new regression-based method for denoising images from path-traced #globalillumination with few rays/pixel #raytracing

https://gpuopen.com/download/publications/GPUOpen2022_WALR.pdf?utm_source=twitter&utm_medium=social&utm_campaign=arrg

#Denoising as well. And much more.

(I'm particularly impressed by transfer of painting style, but this "bread and butter" stuff is really much more useful.)

#arxivfeed

"Derivative-based SINDy (DSINDy): Addressing the challenge of discovering governing equations from noisy data"
https://arxiv.org/abs/2211.05918v1

#denoising #SINDy #nonlinear #dynamics #data #ODE #modelling

#Intel's new #AI. #Denoising at 200 FPS

https://www.youtube.com/watch?v=VxbTiuabW0k

AFAIK Audacity uses GWC code for denoising?
https://sourceforge.net/projects/gwc/
I wonder if there are any other free software sound noise removal programs out there (I know of Noise Repellent LV2 plug-in already).
#Audio #SoundDesign #Sound #Denoising

@bram @akkes ha si, on trouve des trucs quand même
https://github.com/drethage/speech-denoising-wavenet
https://github.com/amaas/rnn-speech-denoising
https://github.com/jordipons/DRNN4ASS
#AI #speech #denoising