https://github.com/booooooooooo/cri
공식 코드High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets
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
- 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/bupt-ai-cz/tcvc
공식 코드Temporal Consistent Automatic Video Colorization via Semantic Correspondence
https://github.com/ccyyatnet/COLORGAN
공식 코드Unsupervised Diverse Colorization via Generative Adversarial Networks
https://github.com/chenpengxin/PolyU-BPCoMa
공식 코드https://github.com/cyberagentailab/webcolor
공식 코드https://github.com/danielcho-hk/colorization
공식 코드https://github.com/danjacobellis/LCCL
공식 코드https://github.com/danjacobellis/walloc
공식 코드https://github.com/dbash/lasagna
공식 코드Lasagna: Layered Score Distillation for Disentangled Object Relighting
https://github.com/derrickxunu/pik-fix
공식 코드https://github.com/dmcv-ecnu/MindSpore_ModelZoo
공식 코드Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
https://github.com/drprojects/deepviewagg
공식 코드Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
https://github.com/egorchistov/color-transfer
공식 코드Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method
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/giventicket/ssimbad-sigma-scaling-with-ssim-guided-balanced-diffusion-for-animeface-colorization
공식 코드SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
https://github.com/gongyeliu/ssd
공식 코드Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
https://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/gustavla/self-supervision
공식 코드https://github.com/hj-harry/mcg_diffusion
공식 코드Improving Diffusion Models for Inverse Problems using Manifold Constraints
https://github.com/ilkerkesen/bvpr
공식 코드Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters
https://github.com/indigopurple/ccdc
공식 코드https://github.com/indigopurple/t3
공식 코드https://github.com/isrugeek/semcolour
공식 코드Nanoscale Microscopy Images Colorization Using Neural Networks
https://github.com/jarchv/solverip
공식 코드Generative Flows as a General Purpose Solution for Inverse Problems
https://github.com/junyanz/interactive-deep-colorization
공식 코드Real-Time User-Guided Image Colorization with Learned Deep Priors
https://github.com/kangyeolk/animeceleb
공식 코드AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
https://github.com/kritiksoman/GIMP-ML
공식 코드GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
https://github.com/kunkun0w0/sga
공식 코드Eliminating Gradient Conflict in Reference-based Line-Art Colorization
https://github.com/leggedrobotics/elevation_mapping_cupy
공식 코드MEM: Multi-Modal Elevation Mapping for Robotics and Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.