Papers with Code 아카이브
Image Cropping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image Cropping is a common photo manipulation process, which improves the overall composition by removing unwanted regions. Image Cropping is widely used in photographic, film processing, graphic design, and printing businesses.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/manyids2/kornia
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/mindspore-lab/mindone
https://github.com/mv-lab/ViT-FGVC8
https://github.com/pjhool/TF-A2RL-Test
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
https://github.com/pksvision/Deep-WaveNet-Underwater-Image-Restoration
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/sunyasheng/a2rl_pytorch
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
https://github.com/tau-yihouxiang/WS_DAN
https://github.com/thoppe/Twitter-Ethics-Challenge-PixelPerfect
https://github.com/wvinzh/WS_DAN_PyTorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.