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Denoising

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하위 태스크: 6
평가표: 6
보존된 평가 기록: 15

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

<span style="color:grey; opacity: 0.6">( Image credit: Beyond a Gaussian Denoiser )</span>

코드

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

https://github.com/fahadshamshad/prGAN

공식 코드

Robust Compressive Phase Retrieval via Deep Generative Priors

https://github.com/fahimzaman/ldseg

공식 코드

Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy

https://github.com/faildeny/debiasing-cardiac-mri

공식 코드

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models

https://github.com/fallenshock/SinDDM

공식 코드

SinDDM: A Single Image Denoising Diffusion Model

https://github.com/fanchimao/sunet

공식 코드

SUNet: Swin Transformer UNet for Image Denoising

https://github.com/fastnlp/cpt

공식 코드

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

https://github.com/fawazsammani/show-edit-tell

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Show, Edit and Tell: A Framework for Editing Image Captions

https://github.com/fe1ixxu/cd_id_mmt

공식 코드

Language-Aware Multilingual Machine Translation with Self-Supervised Learning

https://github.com/feizc/dit-moe

공식 코드

Scaling Diffusion Transformers to 16 Billion Parameters

https://github.com/felixbmuller/sast

공식 코드

Massively Multi-Person 3D Human Motion Forecasting with Scene Context

https://github.com/felixcheng97/denoisecompression

공식 코드

Optimizing Image Compression via Joint Learning with Denoising

https://github.com/felixkoulischer/dynamic-negative-guidance

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Dynamic Negative Guidance of Diffusion Models

https://github.com/fenfenfenfan/VMix

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VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control

https://github.com/fenghansen/pnnp

공식 코드

Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising

https://github.com/fenglinglwb/edt

공식 코드

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

https://github.com/fenglinglwb/psm

공식 코드

Image Inpainting via Iteratively Decoupled Probabilistic Modeling

https://github.com/fenglinglwb/sdm

공식 코드

Image Inpainting via Iteratively Decoupled Probabilistic Modeling

https://github.com/fengshikun/frad

공식 코드

Fractional Denoising for 3D Molecular Pre-training

https://github.com/fengzhang427/LRD

공식 코드

Towards General Low-Light Raw Noise Synthesis and Modeling

https://github.com/ferg-lab/diamondback

공식 코드

DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces

https://github.com/ffzzy840304/masked-pdpp

공식 코드

Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos

https://github.com/findooshka/diffusion-atoms

공식 코드

Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells

https://github.com/finnbehrendt/conditioned-diffusion-models-uad

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Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs

https://github.com/firasgit/medicaldiffusion

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Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

https://github.com/flgoyens/variety-registration

공식 코드

Registration of algebraic varieties using Riemannian optimization

https://github.com/flj19951219/mamba_dose

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MD-Dose: A diffusion model based on the Mamba for radiation dose prediction

https://github.com/florentinbieder/PatchDDM-3D

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Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing

https://github.com/florentinbieder/neonatal-development-inr

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Modeling the Neonatal Brain Development Using Implicit Neural Representations

https://github.com/florentinguth/dualscorematching

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Learning normalized image densities via dual score matching

https://github.com/florianfuerrutter/genqc

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Quantum circuit synthesis with diffusion models

https://github.com/fmerizzi/precipitation-nowcasting-with-generative-diffusion-models

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Precipitation nowcasting with generative diffusion models

https://github.com/forchchch/disenbooth

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DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation

https://github.com/forever208/ddpm-ip

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Input Perturbation Reduces Exposure Bias in Diffusion Models

https://github.com/fouierl/di-fusion

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Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement

https://github.com/fpramunno/MAG2MAG

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Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution

https://github.com/fpramunno/ldm_superresolution

공식 코드

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

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