Papers with Code 아카이브

Image Editing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

2

보존된 평가 기록

12

코드

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

https://github.com/AnkurMali/ContinualPTNCN

공식 코드

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

https://github.com/Atcold/pytorch-PPUU

공식 코드

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic

https://github.com/BlackJoke76/OmniSR

공식 코드

OmniSR: Shadow Removal under Direct and Indirect Lighting

https://github.com/CNugteren/CLTune

공식 코드

CLTune: A Generic Auto-Tuner for OpenCL Kernels

https://github.com/CV-IP/SADC

공식 코드

Shadow-Aware Dynamic Convolution for Shadow Removal

https://github.com/CXH-Research/DocShadow-SD7K

공식 코드

High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net

https://github.com/CXH-Research/ShadocNet

공식 코드

ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal

https://github.com/CalcuLuUus/RASM

공식 코드

Regional Attention for Shadow Removal

https://github.com/GitCVfb/SUNet

공식 코드

SUNet: Symmetric Undistortion Network for Rolling Shutter Correction

https://github.com/GuoLanqing/ShadowDiffusion

공식 코드

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

https://github.com/HongtengXu/Relational-Factorization-Model

공식 코드

Gromov-Wasserstein Factorization Models for Graph Clustering

https://github.com/IRVLab/unrolling

공식 코드

IMU-Assisted Learning of Single-View Rolling Shutter Correction

https://github.com/IVRL/Drone-Shadow-Tracking

공식 코드

Drone Shadow Tracking

https://github.com/JuanMarcosRamirez/LADMM_Net_Pytorch

공식 코드

LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data

https://github.com/KarelZhang/RUAS

공식 코드

Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement

https://github.com/Keziwen/Manifold_Net

공식 코드

Deep Manifold Learning for Dynamic MR Imaging

https://github.com/LiangZhangUMN/PSSE-via-DNNs

공식 코드

Real-time Power System State Estimation and Forecasting via Deep Neural Networks

https://github.com/Lukeli0425/Galaxy-Deconv

공식 코드

Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM

https://github.com/Philip-Bachman/ICML-2015

공식 코드

Variational Generative Stochastic Networks with Collaborative Shaping

https://github.com/RotsteinNoam/Paint-by-Inpaint

공식 코드

Paint by Inpaint: Learning to Add Image Objects by Removing Them First

https://github.com/SOLLVE/clang

공식 코드

Design and Use of Loop-Transformation Pragmas

https://github.com/SimiaoZuo/Stackelberg-Adv

공식 코드

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach

https://github.com/Subhadip-1/unrolling_meets_data_driven_regularization

공식 코드

End-to-end reconstruction meets data-driven regularization for inverse problems

https://github.com/VITA-Group/L2O-Training-Techniques

공식 코드

Training Stronger Baselines for Learning to Optimize

https://github.com/Yuki-11/NTIRE2023_ShadowRemoval_IIM_TTI

공식 코드

NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI

https://github.com/ZENGXH/DMM_Net

공식 코드

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

https://github.com/acecreamu/angularGAN

공식 코드

Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?

https://github.com/adwardlee/multitask-end-to-end-video-captioning

공식 코드

End-to-End Video Captioning with Multitask Reinforcement Learning

https://github.com/aimagelab/multimodal-garment-designer

공식 코드

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

https://github.com/alanqrwang/HQSNet

공식 코드

Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data

https://github.com/algolzw/daclip-uir

공식 코드

Controlling Vision-Language Models for Multi-Task Image Restoration

https://github.com/algolzw/image-restoration-sde

공식 코드

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models

https://github.com/arcananana/dssr

공식 코드

Learning Detail-Structure Alternative Optimization for Blind Super-Resolution

https://github.com/at3e/lwgnet

공식 코드

LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval

https://github.com/baofff/BiSM

공식 코드

Bi-level Score Matching for Learning Energy-based Latent Variable Models

https://github.com/bigai-ai/ICE

공식 코드

In-Context Editing: Learning Knowledge from Self-Induced Distributions

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