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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ppooiiuuyh/ComRecCNN

An End-to-End Compression Framework Based on Convolutional Neural Networks

https://github.com/pputzky/invertible_rim

Recurrent Inference Machines for Solving Inverse Problems

https://github.com/prakashSidd18/blind_augmentation

Restormer: Efficient Transformer for High-Resolution Image Restoration

https://github.com/prateekgv/sasdpr

Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data

https://github.com/princeton-computational-imaging/allyouneedisraw

All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines

https://github.com/priyamtejaswin/multistep-retrieve-summarize

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://github.com/proteus1991/GridDehazeNet

Residual Dense Network for Image Super-Resolution

https://github.com/puffnjackie/pytorch-super-resolution-implementations

Residual Dense Network for Image Super-Resolution

https://github.com/pui-nantheera/Image-Fusion-via-Sparse-Regularization

Image Fusion via Sparse Regularization with Non-Convex Penalties

https://github.com/pwc-1/Paper-10/tree/main/tapex

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

https://github.com/pwc-1/Paper-9/tree/main/1/wavlm

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

https://github.com/pwc-1/Paper-9/tree/main/2/mbart

Multilingual Denoising Pre-training for Neural Machine Translation

https://github.com/pwc-1/Paper-9/tree/main/2/musicgen_melody

Mustango: Toward Controllable Text-to-Music Generation

https://github.com/pwc-1/Paper-9/tree/main/3/WaveCRN-master

WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

https://github.com/pwc-1/Paper-9/tree/main/4/WaveCRN-master

WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

https://github.com/qianyu-dlut/DiffDIS

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

https://github.com/quental96/learnopencv-ddpm

Denoising Diffusion Probabilistic Models

https://github.com/quereste/implicit-deepfake

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/qywu/memformers

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://github.com/qzhang95/SAR-DRN

Learning a Dilated Residual Network for SAR Image Despeckling

https://github.com/raghavmalawat/presentationmastery

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

https://github.com/rami0205/ngramswin

SwinIR: Image Restoration Using Swin Transformer

https://github.com/ramsesproject/TomoGAN

TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks

https://github.com/realmoana/proxyexplainer

D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion

https://github.com/retinal-research/cunsb-rfie

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing

https://github.com/retinal-research/ote-gan

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing

https://github.com/rezafuru/generalized-octave-convolution-compression

Generalized Octave Convolutions for Learned Multi-Frequency Image Compression

https://github.com/rflepp/efficient_mobile_denoising_models

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report

https://github.com/rgavaska/plug-and-play-ISTA

Plug-and-play ISTA converges with kernel denoisers

https://github.com/rhgao/Deep-MIML-Network

Learning to Separate Object Sounds by Watching Unlabeled Video

https://github.com/rhgao/co-separation

Co-Separating Sounds of Visual Objects

https://github.com/rhgao/separating-object-sounds

Learning to Separate Object Sounds by Watching Unlabeled Video

https://github.com/rish-av/hsid-cnn

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

https://github.com/rishidarkdevil/daam-i2i

What the DAAM: Interpreting Stable Diffusion Using Cross Attention

https://github.com/rishikksh20/hifigan-denoiser

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

https://github.com/rk68657/AutoEncoders

Relational Autoencoder for Feature Extraction

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.