#denoising — Public Fediverse posts

https://www.europesays.com/ie/597281/ XMOS Unveils VocalFusion XVF3620 with Advanced AI Voice Processing #AcousticEchoCancellation #AIAudio #AINoiseReduction #AudioProcessing #denoising #Éire #IE #IndustryNews #Ireland #ParallelProcessing #ProductDevelopment #RealTimeProcessing #Technology #VocalFusion #VoiceAI #VoiceCapture #VoiceControl #VoiceInterface #VoiceProcessor #XMOS

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

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

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

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

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

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

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

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

#autoencoders #classifiers #denoising

'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

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

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

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 😁

#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