https://github.com/Xiaoming-Yu/DMIT
공식 코드Multi-mapping Image-to-Image Translation via Learning Disentanglement
Papers with Code 아카이브
Image-to-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 11
- 평가표
- 38
- 보존된 평가 기록
- 195
Image-to-Image Translation is a task in computer vision and machine learning where the goal is to learn a mapping between an input image and an output image, such that the output image can be used to perform a specific task, such as style transfer, data augmentation, or image restoration.
<span style="color:grey; opacity: 0.6">( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Xiaoming-Yu/SingleGAN
공식 코드https://github.com/XingangPan/Switchable-Whitening
공식 코드https://github.com/XiudingCai/EnCo-pytorch
공식 코드Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
https://github.com/YangNaruto/FQ-GAN
공식 코드https://github.com/YangNaruto/latent-energy-transport
공식 코드Unpaired Image-to-Image Translation via Latent Energy Transport
https://github.com/YangZhang4065/AdaptationSeg
공식 코드Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
https://github.com/Yonsei-STL/pix2next
공식 코드Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation
https://github.com/YunChunChen/NAS-DIP-pytorch
공식 코드NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
https://github.com/a514514772/DISE-Domain-Invariant-Structure-Extraction
공식 코드https://github.com/aamir-mustafa/Transformation-CR
공식 코드Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
https://github.com/aangelopoulos/im2im-uq
공식 코드https://github.com/acecreamu/ssim-pan
공식 코드https://github.com/agonzgarc/cross-domain-disen
공식 코드https://github.com/aiiu-lab/blenda
공식 코드BlenDA: Domain Adaptive Object Detection through diffusion-based blending
https://github.com/aimagelab/art2real
공식 코드Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
https://github.com/aircarlo/bin2bin-gan-plc
공식 코드A Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment
https://github.com/airi-institute/styledomain
공식 코드https://github.com/ajrheng/fdrl
공식 코드https://github.com/akmtn/OmniDreamer
공식 코드Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
https://github.com/albertpumarola/GANimation
공식 코드GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/alexmartin1722/Revive-2I
공식 코드https://github.com/alpc91/NICE-GAN-pytorch
공식 코드Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
https://github.com/alpc91/transda
공식 코드Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
https://github.com/alpha-davidson/sun_cgan
공식 코드Two-dimensional total absorption spectroscopy with conditional generative adversarial networks
https://github.com/alphawuseu/mlfm
공식 코드https://github.com/amaha7984/kan-cut
공식 코드https://github.com/anonymous-ai-for-earth/satellite-to-satellite-translation
공식 코드https://github.com/antaegun20/CycleGANAS
공식 코드CycleGANAS: Differentiable Neural Architecture Search for CycleGAN
https://github.com/apoll2000/stereofog
공식 코드STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset
https://github.com/arangesh/GPCycleGAN
공식 코드Gaze Preserving CycleGANs for Eyeglass Removal & Persistent Gaze Estimation
https://github.com/archiel19/frax4
공식 코드https://github.com/aroitberg/sims4action
공식 코드https://github.com/astra-vision/guideddisent
공식 코드Physics-informed Guided Disentanglement in Generative Networks
https://github.com/avisekiit/TCSVT-LightWeight-CNNs
공식 코드Lightweight Modules for Efficient Deep Learning based Image Restoration
https://github.com/avivga/lord
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.