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Image-to-Image Translation

1 Image, 2*2 Stitching › Image-to-Image Translation 388 평가 기록 62 datasets

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>

하위 태스크

ST Synthetic-to-Real Translation 4 데이터셋 · 119 rows CI Cross-View Image-to-Image Translation 8 데이터셋 · 33 rows MU Multimodal Unsupervised Image-To-Image Translation 6 데이터셋 · 22 rows FT Fundus to Angiography Generation 1 데이터셋 · 9 rows UI Unsupervised Image-To-Image Translation 2 데이터셋 · 7 rows FM Facial Makeup Transfer 2 데이터셋 · 2 rows VT Virtual Try-Off 1 데이터셋 · 1 rows BV Bird View Synthesis 0 데이터셋 · 0 rows IR Image-to-Image Regression 0 데이터셋 · 0 rows PT Photo-To-Caricature Translation 0 데이터셋 · 0 rows RT Real-to-Cartoon translation 0 데이터셋 · 0 rows