https://github.com/BestiVictory/HistoryNet
공식 코드Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
Papers with Code 아카이브
Image Colorization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CHAITron/sketchdeco-code
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/ImagingLab/Colorizing-with-GANs
공식 코드https://github.com/Jianbo-Lab/LBIE
공식 코드Language-Based Image Editing with Recurrent Attentive Models
https://github.com/OmarSZamzam/PixelShuffler
공식 코드PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
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/SketchyScene/SketchyScene
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/aamir-mustafa/Transformation-CR
공식 코드Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
https://github.com/alexyangxx/colormamba
공식 코드ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
https://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/awesome-davian/Text2Colors
공식 코드Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
https://github.com/baldassarreFe/deep-koalarization
공식 코드Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/bupt-ai-cz/tcvc
공식 코드Temporal Consistent Automatic Video Colorization via Semantic Correspondence
https://github.com/cyberagentailab/webcolor
공식 코드https://github.com/damo-vilab/composer
공식 코드Composer: Creative and Controllable Image Synthesis with Composable Conditions
https://github.com/ericsujw/InstColorization
공식 코드https://github.com/fuyaluo/foalgan
공식 코드Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
https://github.com/fuyaluo/morngan
공식 코드Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization
https://github.com/genforce/mganprior
공식 코드https://github.com/giddyyupp/AdvSegLoss
공식 코드https://github.com/google-research/big_vision
공식 코드UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
https://github.com/google-research/google-research
공식 코드https://github.com/google-research/google-research/tree/master/coltran
공식 코드https://github.com/gustavla/autocolorize
공식 코드https://github.com/ilkerkesen/bvpr
공식 코드Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters
https://github.com/isrugeek/semcolour
공식 코드Nanoscale Microscopy Images Colorization Using Neural Networks
https://github.com/junyanz/CycleGAN
공식 코드Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/junyanz/interactive-deep-colorization
공식 코드Real-Time User-Guided Image Colorization with Learned Deep Priors
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
공식 코드Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.