Papers with Code 아카이브

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/levihsu/ootdiffusion

공식 코드

OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

https://github.com/lewandofskee/DiAD

공식 코드

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection

https://github.com/li-tong-621/dmid

공식 코드

Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling

https://github.com/li-yun-chen/spd-ddpm

공식 코드

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

https://github.com/liamchalcroft/contrast-squared

공식 코드

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning

https://github.com/libozhu03/passionsr

공식 코드

PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution

https://github.com/libozhu03/qartsr

공식 코드

QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution

https://github.com/liewfeng/beam

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Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

https://github.com/liewfeng/raydn

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Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

https://github.com/lil-shake/coca

공식 코드

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

https://github.com/lilac-code/music-diffusion

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Generating symbolic music using diffusion models

https://github.com/lileyang1210/ant

공식 코드

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

https://github.com/limuloo/pydiff

공식 코드

Pyramid Diffusion Models For Low-light Image Enhancement

https://github.com/linazhuang/hsi-mixednoiseremoval-fasthymix

공식 코드

FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal

https://github.com/lincoln20030413/ddsr

공식 코드

Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs

https://github.com/linghaochan/humanmac

공식 코드

HumanMAC: Masked Motion Completion for Human Motion Prediction

https://github.com/linghuyuhangyuan/m2s

공식 코드

Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling

https://github.com/lingqiz/optimal-measurement

공식 코드

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models

https://github.com/lingxiaoshawn/pard

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Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation

https://github.com/lingxiaoshawn/usd3

공식 코드

Unified Discrete Diffusion for Categorical Data

https://github.com/lingxiaoyang2023/dsg2024

공식 코드

Guidance with Spherical Gaussian Constraint for Conditional Diffusion

https://github.com/lingximamo/white-box-diffusion-transformer

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White-Box Diffusion Transformer for single-cell RNA-seq generation

https://github.com/lingyongyan/docds

공식 코드

From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension

https://github.com/linjiefu-u/mamba_dose

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

https://github.com/linxin0/scpgabnet

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Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

https://github.com/linxuewu/sparse4d

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Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

https://github.com/lipang/hirdiff

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HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models

https://github.com/lipang/hsigene

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HSIGene: A Foundation Model For Hyperspectral Image Generation

https://github.com/liqiiiii/dllm-survey

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Discrete Diffusion in Large Language and Multimodal Models: A Survey

https://github.com/liqingchunnnn/only-noisy-training

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Self-Supervised Speech Denoising Using Only Noisy Audio Signals

https://github.com/lishaoxu1994/diffstyler

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DiffStyler: Diffusion-based Localized Image Style Transfer

https://github.com/lishenglana/gdstrack

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Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking

https://github.com/littlebeen/asddpm-adaptive-semantic-enhanced-ddpm

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Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

https://github.com/littlewhitesea/stitchdiffusion

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Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models

https://github.com/littleyaang/hq-50k

공식 코드

HQ-50K: A Large-scale, High-quality Dataset for Image Restoration

https://github.com/liturout/psld

공식 코드

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

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