Papers with Code 아카이브
Image-to-Image Translation
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- 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/2024-MindSpore-1/Code7/tree/main/centernet_resnet101
https://github.com/2024-MindSpore-1/Code7/tree/main/centernet_resnet50_v1
https://github.com/3P2S/arcface
https://github.com/771979972/Paddle_pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/771979972/paddle-SAM
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/9310gaurav/ali-pytorch
https://github.com/AIOSYM/dl-model-gallery
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/AKASH2907/Forgery-Classification-via-Domain-Adaptation
https://github.com/Abhaya1998/Self-Driving-Car
Virtual to Real Reinforcement Learning for Autonomous Driving
https://github.com/AbhinavTalari/Night2Day
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Adi-iitd/AI-Art
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Afsaan/CNN-Architectures
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/AhmedAmraniAkdi/BdgetNvidiaGaugan
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/AhmedAmraniAkdi/BudgetNvidiaGaugan
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/AhmedAmraniAkdi/SmallNvidiaGaugan
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/AlexHex7/SimGAN_pytorch
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/Alighasemzadeh83/Pix2Pix-implementation-from-scratch
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/AlliBalliBaba/PixFace
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/AlliBalliBaba/PixFace-Neural-Network
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/AlphaKong/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Anderies/stochastic-constant-pruninglayers
https://github.com/AngusG/bn-advex-zhang-fixup
https://github.com/Aniket7/VGGNet-CNN-architecture
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Anuranjan-Kumar/kaggle_cats-vs-dogs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/AquibPy/Cycle-GAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/AquibPy/Pix2Pix-Conditional-GANs
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ArenGolazizian/Pix2Pix-Cityscapes-Seg2Real
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ArifRaihan/Deeper-CNN-Architectures-for-Image-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ArkaJU/Image-Colorization-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/AsianZeus/Ooze-Handwritten-Text-Generator
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Atharva-Phatak/Image2Image
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Atharva-Phatak/Season-Transfer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/AverageName/Cycle_gan_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/AverageName/UI2IT
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/AveryGriffin/NarutoCV
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.