Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

A simple implementation of Nvidia's AI denoiser

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model && [NeurIPS 2025] UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

Pytorch based speech enhancement toolkit.

Fast GPU deNoise spatial filter, with circular gaussian kernel, full configurable

An AI denoising pipeline between Blender and NVIDIA's OptiX AI-Accelerated Denoiser.

A speech denoise lv2 plugin based on RNNoise library

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

An image upscaling and denoiser app

Bayesian Collaborative Denoiser for Monte Carlo Rendering

A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.

Code of 'when AWGN-based Denoiser Meets Real Noises'

FidelityFX Denoiser

An offline AI Audio Denoiser app built using DeepFilternet3

Utilizes ONNX Runtime for audio denoising.

[ICLR 25] Code for "Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning"

SpeechDenoiser: Real-Time Speech Denoising with ONNX Welcome to SpeechDenoiser, a simple and effective solution for real-time speech denoising using an ONNX model. This repository contains everything you need to get started with enhancing audio quality by reducing noise, making it perfect for improving voice recordings and live communication.

A simple implementation of Intels Open Image denoiser -> https://github.com/OpenImageDenoise/oidn

Deep learning based denoiser for Cycles, Blender's physically-based production renderer.

Denoising a Vulkan ray traced image using OptiX denoiser

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Official PyTorch inference code for the Interspeech 2025 paper: Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders