https://github.com/INOS-soft/Bro-coil
Image-to-Image Translation with Conditional Adversarial Networks
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/INOS-soft/KuE.electo-waffle
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/INOS-soft/Python-Tools
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/IamShiv26/color-image
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/IamShiv26/sturdy-waffle
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/Janspiry/Palette-Image-to-Image-Diffusion-Models
https://github.com/JobQiu/hackrice
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Kinyugo/consistency_models
https://github.com/Kwentar/Color2Embed_pytorch
Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings
https://github.com/Lornatang/PyTorch-CycleGAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/LouisRouss/Diffusion-Based-Model-for-Colorization
https://github.com/Lycanthropeus/Infrared-Image-Colorization-using-Deep-Neural-Networks
Infrared Colorization Using Deep Convolutional Neural Networks
https://github.com/MS-Mind/MS-Code-06/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MarvinLavechin/imagetranslation-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MasoumehVahedi/Pix2Pix-GAN-model
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Maxencephilbert/In_Silico_Labeling_CBIO_internship
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Image_to_Image_Translation_with_Conditional_Adversarial_Nets
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Mind23-2/MindCode-5/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Mind23-2/MindCode-61
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MindCode-4/code-11/tree/main/DCTransformer
https://github.com/MindSpore-paper-code-2/code2/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MindSpore-scientific-2/code-11/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/MindSpore-scientific-2/code-4/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/MindSpore-scientific-2/code-5/tree/main/Deep-Edge-Aware-Interactive
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
https://github.com/MindSpore-scientific-2/code-9/tree/main/Deep-Edge-Aware-Interactive
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects
https://github.com/MindSpore-scientific/code-11/tree/main/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding
Guided Image Generation with Conditional Invertible Neural Networks
https://github.com/MindSpore-scientific/code-13/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Montia/bw2color
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Mosasaur5526/BCM-iCT-torch
https://github.com/Neeleshrj/Image-Colorization-API
https://github.com/NeuralVFX/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Nguyendat-bit/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Nikolai10/FSQ
https://github.com/Nisnab/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/OFRIN/Tensorflow_Pixel2Pixel
Image-to-Image Translation with Conditional Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.