https://github.com/tydpan/gpc
공식 코드Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Papers with Code 아카이브
Colorization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://github.com/vibe007/Dequantization_Diffusion_Models
공식 코드https://github.com/vict0rsch/LiSS
공식 코드Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
https://github.com/viector/spcolor
공식 코드SPColor: Semantic Prior Guided Exemplar-based Image Colorization
https://github.com/wangzhiyaoo/svfr
공식 코드SVFR: A Unified Framework for Generalized Video Face Restoration
https://github.com/wayne1123/colorization
공식 코드Sampling Using Neural Networks for colorizing the grayscale images
https://github.com/weepiess/StyleFlow-Content-Fixed-I2I
공식 코드https://github.com/weersproductions/colorization-bias
공식 코드Bias in Automated Image Colorization: Metrics and Error Types
https://github.com/wwxb2012/digital_staining_knowledge_distillation
공식 코드https://github.com/wyhuai/ddnm
공식 코드Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
https://github.com/xq-meng/animediffusion
공식 코드AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
https://github.com/yang-song/score_sde
공식 코드Score-Based Generative Modeling through Stochastic Differential Equations
https://github.com/yaxingwang/Mix-and-match-networks
공식 코드Mix and match networks: encoder-decoder alignment for zero-pair image translation
https://github.com/ydk-tellurion/colorizediffusion
공식 코드ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
https://github.com/ykdai/BasicPBC
공식 코드Learning Inclusion Matching for Animation Paint Bucket Colorization
https://github.com/yqx7150/JGM
공식 코드Joint Intensity-Gradient Guided Generative Modeling for Colorization
https://github.com/yqx7150/WACM
공식 코드Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
https://github.com/yunlong10/Awesome-AI4Animation
공식 코드https://github.com/yyang181/colormnet
공식 코드ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization
https://github.com/yzxing87/pytorch-deep-video-prior
공식 코드https://github.com/zhangmozhe/video-colorization
공식 코드https://github.com/zhaohengyuan1/Color2Style
공식 코드Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings
https://github.com/zhaoyuzhi/Legacy-Photo-Editing-with-Learned-Noise-Prior
공식 코드https://github.com/zhaoyuzhi/Semantic-Colorization-GAN
공식 코드SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
https://github.com/zhaoyuzhi/VCGAN
공식 코드VCGAN: Video Colorization with Hybrid Generative Adversarial Network
https://github.com/zhaoyuzhi/svcnet
공식 코드SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
https://gitlab.com/grains2/DeepMedicalColorization
공식 코드Bridging the gap between Natural and Medical Images through Deep Colorization
https://github.com/01pooja10/Sketch-to-Shoe
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-112
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/resnetv2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_inception_v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/2023-MindSpore-4/Code7/tree/main/ssd_inception_v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/5yearsKim/Conditional-Normalizing-Flow
Guided Image Generation with Conditional Invertible Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.