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

https://github.com/feipan664/IntraDA

공식 코드

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

https://github.com/fergaletto/mssr

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A deep learning approach for marine snow synthesis and removal

https://github.com/fordevoted/uiess

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Domain Adaptation for Underwater Image Enhancement via Content and Style Separation

https://github.com/fpramunno/MAG2MAG

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Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution

https://github.com/fpv-iplab/DA-RetinaNet

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An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites

https://github.com/fuyaluo/morngan

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Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization

https://github.com/fzj-inm1-bda/pli2cells

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From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging

https://github.com/galmetzer/z2p

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Z2P: Instant Visualization of Point Clouds

https://github.com/gavinkerrigan/cot_fm

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Dynamic Conditional Optimal Transport through Simulation-Free Flows

https://github.com/georghess/neurad-studio

공식 코드

NeuRAD: Neural Rendering for Autonomous Driving

https://github.com/giannispikoulis/dsml-thesis

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Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models

https://github.com/giddyyupp/ganilla

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GANILLA: Generative Adversarial Networks for Image to Illustration Translation

https://github.com/giddyyupp/wait

공식 코드

WAIT: Feature Warping for Animation to Illustration video Translation using GANs

https://github.com/gnobitab/RectifiedFlow

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Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

https://github.com/godisboy/DRPAN

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Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation

https://github.com/gojasper/lbm

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LBM: Latent Bridge Matching for Fast Image-to-Image Translation

https://github.com/google-research/masksketch

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MaskSketch: Unpaired Structure-guided Masked Image Generation

https://github.com/gr8joo/IIAE

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Variational Interaction Information Maximization for Cross-domain Disentanglement

https://github.com/grigorisg9gr/polynomial_nets_for_conditional_generation

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CoPE: Conditional image generation using Polynomial Expansions

https://github.com/guigzos/crossmodalgba

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Cross-modal tumor segmentation using generative blending augmentation and self training

https://github.com/gvisani/hpacker

공식 코드

H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing

https://github.com/hamedhaghighi/cls2r

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A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems

https://github.com/hamedhaghighi/coligen

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A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems

https://github.com/hamrel-cxu/flowot

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Computing high-dimensional optimal transport by flow neural networks

https://github.com/hanhuang22/VI-Diff

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VI-Diff: Unpaired Visible-Infrared Translation Diffusion Model for Single Modality Labeled Visible-Infrared Person Re-identification

https://github.com/haotian-liu/LLaVA

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Visual Instruction Tuning

https://github.com/happy-jihye/Cartoon-StyleGan2

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Fine-Tuning StyleGAN2 For Cartoon Face Generation

https://github.com/hasibzunair/adversarial-lesions

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Melanoma Detection using Adversarial Training and Deep Transfer Learning

https://github.com/hasibzunair/synthetic-covid-cxr-dataset

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Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation

https://github.com/hcmlab/GANterfactual

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GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning

https://github.com/heyblackC/DFMIR

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Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation

https://github.com/hhi-aml/histobenchmark

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From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology

https://github.com/hichoe95/Artifact-Detection-and-Sequential-Ablation

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Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?

https://github.com/hindawi91/dips

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Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification

https://github.com/hkust-vgd/architectural_style_transfer

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Time-of-Day Neural Style Transfer for Architectural Photographs

https://github.com/hmrc-ael/tridentadapt

공식 코드

TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation

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