https://github.com/BestiVictory/HistoryNet
공식 코드Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
Papers with Code 아카이브
Colorization
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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/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity
공식 코드Fully Automatic Video Colorization with Self-Regularization and Diversity
https://github.com/ChenyangLEI/deep-video-prior
공식 코드https://github.com/DwangoMediaVillage/Comicolorization
공식 코드https://github.com/FuyaLuo/PearlGAN
공식 코드Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
https://github.com/Harry-Thasarathan/TCVC
공식 코드https://github.com/HideUnderBush/UI2I_via_StyleGAN2
공식 코드Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
https://github.com/ImagingLab/Colorizing-with-GANs
공식 코드https://github.com/Jianbo-Lab/LBIE
공식 코드Language-Based Image Editing with Recurrent Attentive Models
https://github.com/KIMGEONUNG/BigColor
공식 코드BigColor: Colorization using a Generative Color Prior for Natural Images
https://github.com/LituRout/OptimalTransportModeling
공식 코드https://github.com/Lxiangyue/GenN2N
공식 코드https://github.com/OmarSZamzam/PixelShuffler
공식 코드PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/Panagiotou/Procedural3DTerrain
공식 코드Procedural 3D Terrain Generation using Generative Adversarial Networks
https://github.com/Pengyu-gis/Historical-Aerial-Photos
공식 코드A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
https://github.com/SSAW14/BeyondtheSpectrum
공식 코드https://github.com/SashoNedelkoski/BPFDMVM
공식 코드Learning more expressive joint distributions in multimodal variational methods
https://github.com/SketchyScene/SketchyScene
공식 코드https://github.com/Tianxinhuang/ComPC
공식 코드https://github.com/Time-Travel-Rephotography/Time-Travel-Rephotography.github.io
공식 코드https://github.com/ToTheBeginning/GCP-Colorization
공식 코드Towards Vivid and Diverse Image Colorization with Generative Color Prior
https://github.com/VLL-HD/FrEIA
공식 코드Guided Image Generation with Conditional Invertible Neural Networks
https://github.com/VLL-HD/conditional_INNs
공식 코드Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
https://github.com/Wangt-CN/IP-IRM
공식 코드Self-Supervised Learning Disentangled Group Representation as Feature
https://github.com/aamir-mustafa/Transformation-CR
공식 코드Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
https://github.com/abanitalebi/RePaint
공식 코드https://github.com/alexyangxx/mcfnet
공식 코드Multi-scale HSV Color Feature Embedding for High-fidelity NIR-to-RGB Spectrum Translation
https://github.com/allenanzifeng/deeplearning282
공식 코드https://github.com/ameroyer/PIC
공식 코드https://github.com/amirbar/visual_prompting
공식 코드https://github.com/awesome-davian/Text2Colors
공식 코드Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
https://github.com/bahjat-kawar/ddrm
공식 코드https://github.com/baldassarreFe/deep-koalarization
공식 코드Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/bbaaii/SSC-Net
공식 코드Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
https://github.com/bernhard2202/improved-video-gan
공식 코드Improving Video Generation for Multi-functional Applications
https://github.com/blandocs/Tag2Pix
공식 코드Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.