Papers with Code 아카이브
Colorization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 2
- 보존된 평가 기록
- 5
Colorization is the process of adding plausible color information to monochrome photographs or videos. Colorization is a highly undetermined problem, requiring mapping a real-valued luminance image to a three-dimensional color-valued one, that has not a unique solution.
Source: ChromaGAN: An Adversarial Approach for Picture Colorization
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/srihari-humbarwadi/image_colorization_gan_tf2.0
https://github.com/sroutray/pix2pix-isola
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/stfc-sciml/differentialconv2d
https://github.com/sukkritsharmaofficial/Colourization-of-B-W-photos
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/superhighlevel/ChromaGan_Pytorch_Remake
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
https://github.com/svikramank/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/taivu1998/GANime
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tbullmann/imagesegmentation-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tbullmann/imagetranslation-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/telecombcn-dl/2018-dlcv-team2
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tensorflow/models/tree/master/research/gan
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tensorpack/tensorpack/tree/master/examples/GAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/theburgman21/Pix2Pix-Deblurrer
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tianhai123/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tiwarikajal/SketchIT--Conversion-of-Images-to-Sketches-using-Conditional-GAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/tomgillooly/geogan
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ucsd-ml-arts/ml-art-final-chandhini-g-1
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/unicredit/ganzo
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/utunga/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/vaibhavjindal/pix2pix-pytorch
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/vamsi3/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/venkai/RBDN
https://github.com/videogorillas/colorize
https://github.com/vincentbillaut/all-colors-matter
https://github.com/vishalj0501/Image-Colorization-cGAN-
https://github.com/wang-kangkang/SideWindowFilter-pytorch
https://github.com/weipeng0703/Pix2Pix_MindSpore_For_PaperWithCode/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/winfried-loetzsch/deep-hist
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
https://github.com/wusize/colorization
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/wwwAych/AutoVideoColor
https://github.com/xingchenzhao/Generating-Human-Skeletons-with-Mutual-Actions-WGAN-Pytorch
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/xingchenzhao/deep-learning-team-project
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/xiuyu0000/papers_with_examples/tree/main/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/xypeng9903/k-diffusion-inverse-problems
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
https://github.com/yanfeng-yang-0316/cdcit
Score-Based Generative Modeling through Stochastic Differential Equations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.