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3D Architecture

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

https://github.com/MC-E/COLA-Net

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COLA-Net: Collaborative Attention Network for Image Restoration

https://github.com/METU-SPACE-Lab/PnP-Regularization-on-Magnitude

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Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging

https://github.com/MHmi1/Image_Denoising_Classification

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Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasks

https://github.com/MIvanovska/MAD-DDPM

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Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models

https://github.com/MKFMIKU/D2SM

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Deep Semantic Statistics Matching (D2SM) Denoising Network

https://github.com/MLI-lab/ConvDecoder

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Accelerated MRI with Un-trained Neural Networks

https://github.com/MLI-lab/cs_deep_decoder

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Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation

https://github.com/MLI-lab/overparameterized_convolutional_generators

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Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators

https://github.com/MUzairZahid/BRSR-OpGAN

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BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial Network

https://github.com/Mathux/ACTOR

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Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

https://github.com/Mehran-Soltani/ChannelNet

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Deep Learning-Based Channel Estimation

https://github.com/Mic-map/PIRACY

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An optimized pipeline for functional connectivity analysis in the rat brain

https://github.com/Michedev/diffusion-uncertainty

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Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation

https://github.com/Mihails-Birjukovs/Low_C-SNR_Bubble_Detection

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Resolving gas bubbles ascending in liquid metal from low-SNR neutron radiography images

https://github.com/Minminhfut/SSRLDACode

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Semi-supervised representation learning via dual autoencoders for domain adaptation

https://github.com/Miraclelzk/NI-SGCN

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Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising

https://github.com/MohammadSadeghSalehi/ISGD

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Bilevel Learning with Inexact Stochastic Gradients

https://github.com/MohammadSadeghSalehi/MAID

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An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning

https://github.com/Muhammad-Huzaifaa/Defensive_Diffusion

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On enhancing the robustness of Vision Transformers: Defensive Diffusion

https://github.com/ND-HowardGroup/JPP_review_code_2020

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Machine learning for faster and smarter fluorescence lifetime imaging microscopy

https://github.com/ND-HowardGroup/SPIE-CNN-FLIM-Denoising

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Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)

https://github.com/NIEQiang001/unsupervised-human-pose

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Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement

https://github.com/NVIDIA/NeMo

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Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration

https://github.com/NVlabs/noise2noise

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Noise2Noise: Learning Image Restoration without Clean Data

https://github.com/NVlabs/nvdiffrecmc

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Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

https://github.com/NesterukSergey/segmentation_image_augmentation

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Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case

https://github.com/NeuralTextualInversion/NeTI

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A Neural Space-Time Representation for Text-to-Image Personalization

https://github.com/NhatHoang2002/MotionMix

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MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

https://github.com/NicholasJohnson2020/LearningLowRankMatrices

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Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM

https://github.com/NuayHL/TimeStepGenerating

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Time Step Generating: A Universal Synthesized Deepfake Image Detector

https://github.com/Null-0000/ViMAEdit

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Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing

https://github.com/OFA-Sys/ONE-PEACE

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ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

https://github.com/OpenImagingLab/DualDn

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DualDn: Dual-domain Denoising via Differentiable ISP

https://github.com/P-Song/CDLMRI

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Coupled Dictionary Learning for Multi-contrast MRI Reconstruction

https://github.com/PAN083/DiffSCI

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DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model

https://github.com/PCJohn/dip-spectral

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The Spectral Bias of the Deep Image Prior

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