Papers with Code 아카이브
Colorization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 2
- 보존된 평가 기록
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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/lyf1212/color-turbo
공식 코드https://github.com/maheyg/swgg
공식 코드Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
https://github.com/majedelhelou/BIGPrior
공식 코드BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
https://github.com/mengxiangming/dmps
공식 코드Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
https://github.com/merlresearch/SteeredDiffusion
공식 코드Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
https://github.com/minhmanho/semantic-driven_colorization
공식 코드https://github.com/mlvlab/davi
공식 코드Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
https://github.com/msracver/Deep-Exemplar-based-Colorization
공식 코드https://github.com/ncherel/psal
공식 코드https://github.com/necludov/jam
공식 코드https://github.com/nubivlab/hypercolorization
공식 코드https://github.com/omerb01/puq
공식 코드Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
https://github.com/open-mmlab/mmediting
공식 코드GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond
https://github.com/openai/consistency_models
공식 코드https://github.com/orashi/AlacGAN
공식 코드User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
https://github.com/phoenix104104/fast_blind_video_consistency
공식 코드https://github.com/piddnad/ddcolor
공식 코드DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
https://github.com/pkuxmq/Invertible-Image-Rescaling
공식 코드https://github.com/pmh9960/iColoriT
공식 코드https://github.com/pvitoria/ChromaGAN
공식 코드ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
https://github.com/richzhang/colorization
공식 코드https://github.com/rois-codh/arc-ukiyoe-faces
공식 코드Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation
https://github.com/rossiyareich/inknhue
공식 코드inkn'hue: Enhancing Manga Colorization from Multiple Priors with Alignment Multi-Encoder VAE
https://github.com/roydenwa/cell-centroid-former
공식 코드https://github.com/roydenwa/pseudo-colorize-masked-cells
공식 코드https://github.com/saeed-anwar/ColorSurvey
공식 코드https://github.com/satoshi-kosugi/powerful-attention
공식 코드https://github.com/shepnerd/palgan
공식 코드PalGAN: Image Colorization with Palette Generative Adversarial Networks
https://github.com/smartcameras/ColorFool
공식 코드https://github.com/srxdev0619/Latent_Convolutional_Models
공식 코드https://github.com/stevinc/TheColorOutOfSpace
공식 코드The color out of space: learning self-supervised representations for Earth Observation imagery
https://github.com/superhans/colorfromlanguage
공식 코드https://github.com/swizad/split-diffusion
공식 코드Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
https://github.com/tellurion-kanata/colorizediffusion
공식 코드Image Referenced Sketch Colorization Based on Animation Creation Workflow
https://github.com/tezignlab/subculture-colorization
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.