Papers with Code 아카이브

3D Architecture

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/YoungJooHan/NM-FlowGAN

공식 코드

NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN

https://github.com/YoushanZhang/CoxImgSwinTransformer

공식 코드

Complex Image Generation SwinTransformer Network for Audio Denoising

https://github.com/Yqcca/CMLoRA

공식 코드

Cached Multi-Lora Composition for Multi-Concept Image Generation

https://github.com/YuGuangWang/UFG

공식 코드

How Framelets Enhance Graph Neural Networks

https://github.com/Yuan-Jinghui/Riemannian-Optimization-on-Relaxed-Indicator-Matrix-Manifold

공식 코드

Riemannian Optimization on Relaxed Indicator Matrix Manifold

https://github.com/Yuanshi9815/OminiControl

공식 코드

OminiControl2: Efficient Conditioning for Diffusion Transformers

https://github.com/Yushgoel/AdversarialAttack

공식 코드

An Empirical Review of Adversarial Defenses

https://github.com/ZBWpro/CoT-BERT

공식 코드

CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought

https://github.com/ZGCTroy/ED-DPM

공식 코드

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

https://github.com/ZHKKKe/PixelSSL

공식 코드

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

https://github.com/ZJU-DAILY/SGDL

공식 코드

Self-Guided Learning to Denoise for Robust Recommendation

https://github.com/ZhangJC-2k/RandomSampling

공식 코드

Random Sampling for Diffusion-based Adversarial Purification

https://github.com/Zhangyanbo/diffusion-evolution

공식 코드

Diffusion Models are Evolutionary Algorithms

https://github.com/ZhaomingKong/Denoising-Comparison

공식 코드

A Comparison of Image Denoising Methods

https://github.com/ZhaomingKong/color_image_denoising

공식 코드

A Brief Review of Real-World Color Image Denoising

https://github.com/ZhendongWang6/Uformer

공식 코드

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/ZhonghaoZ/AMP-Net_TIP

공식 코드

AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

https://github.com/ZhuHaoranEIS/DN-TOD

공식 코드

Robust Tiny Object Detection in Aerial Images amidst Label Noise

https://github.com/Zi-YuanYang/SCAN-PhysFed

공식 코드

Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model

https://github.com/ZichengDuan/EZIGen

공식 코드

EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance

https://github.com/ZikangXiong/rl-detect-and-denoise-defense

공식 코드

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

https://github.com/ZiyiZhang27/tdpo

공식 코드

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

https://github.com/ZqlwMatt/Tex4D

공식 코드

Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models

https://github.com/a-fsh-r/IBO

공식 코드

IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology

https://github.com/aaberdam/AdaLISTA

공식 코드

Ada-LISTA: Learned Solvers Adaptive to Varying Models

https://github.com/aaleka/retree

공식 코드

Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation

https://github.com/aalkaid/usdenoising

공식 코드

A Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained Refinement

https://github.com/aamir-mustafa/Transformation-CR

공식 코드

Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation

https://github.com/aau-es-ml/ssl_noise-robust_kws

공식 코드

Noise-Robust Keyword Spotting through Self-supervised Pretraining

https://github.com/abcdef2000/R2RNet

공식 코드

R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network

https://github.com/abidlabs/contrastive

공식 코드

Contrastive Principal Component Analysis

https://github.com/aboriginer/hfs-sde

공식 코드

High-Frequency Space Diffusion Models for Accelerated MRI

https://github.com/absDL/absDL.github.io

공식 코드

Single-exposure absorption imaging of ultracold atoms using deep learning

https://github.com/abtahimajeed/checkerboarddenoiser

공식 코드

Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising

https://github.com/acecreamu/deep-hs-prior

공식 코드

Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution

https://github.com/ad12/meddlr

공식 코드

Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning

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