https://github.com/fuyaluo/morngan
공식 코드Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization
Papers with Code 아카이브
Image-to-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 11
- 평가표
- 38
- 보존된 평가 기록
- 195
Image-to-Image Translation is a task in computer vision and machine learning where the goal is to learn a mapping between an input image and an output image, such that the output image can be used to perform a specific task, such as style transfer, data augmentation, or image restoration.
<span style="color:grey; opacity: 0.6">( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fzj-inm1-bda/pli2cells
공식 코드https://github.com/galmetzer/z2p
공식 코드https://github.com/gavinkerrigan/cot_fm
공식 코드Dynamic Conditional Optimal Transport through Simulation-Free Flows
https://github.com/georghess/neurad-studio
공식 코드https://github.com/giannispikoulis/dsml-thesis
공식 코드Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
https://github.com/giddyyupp/ganilla
공식 코드GANILLA: Generative Adversarial Networks for Image to Illustration Translation
https://github.com/giddyyupp/wait
공식 코드WAIT: Feature Warping for Animation to Illustration video Translation using GANs
https://github.com/gnobitab/RectifiedFlow
공식 코드Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
https://github.com/godisboy/DRPAN
공식 코드Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
https://github.com/gojasper/lbm
공식 코드LBM: Latent Bridge Matching for Fast Image-to-Image Translation
https://github.com/google-research/masksketch
공식 코드MaskSketch: Unpaired Structure-guided Masked Image Generation
https://github.com/gr8joo/IIAE
공식 코드Variational Interaction Information Maximization for Cross-domain Disentanglement
https://github.com/grigorisg9gr/polynomial_nets_for_conditional_generation
공식 코드CoPE: Conditional image generation using Polynomial Expansions
https://github.com/guigzos/crossmodalgba
공식 코드Cross-modal tumor segmentation using generative blending augmentation and self training
https://github.com/gvisani/hpacker
공식 코드https://github.com/hamedhaghighi/cls2r
공식 코드A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems
https://github.com/hamedhaghighi/coligen
공식 코드A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems
https://github.com/hamrel-cxu/flowot
공식 코드Computing high-dimensional optimal transport by flow neural networks
https://github.com/hanhuang22/VI-Diff
공식 코드https://github.com/happy-jihye/Cartoon-StyleGan2
공식 코드https://github.com/hasibzunair/adversarial-lesions
공식 코드Melanoma Detection using Adversarial Training and Deep Transfer Learning
https://github.com/hasibzunair/synthetic-covid-cxr-dataset
공식 코드Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
https://github.com/hcmlab/GANterfactual
공식 코드https://github.com/heyblackC/DFMIR
공식 코드https://github.com/hhi-aml/histobenchmark
공식 코드https://github.com/hindawi91/dips
공식 코드https://github.com/hkust-vgd/architectural_style_transfer
공식 코드Time-of-Day Neural Style Transfer for Architectural Photographs
https://github.com/hmrc-ael/tridentadapt
공식 코드https://github.com/huangqiusheng/bridgegan
공식 코드https://github.com/huawei-noah/noah-research/tree/master/TokenFusion
공식 코드https://github.com/huitangtang/DADA-AAAI2020
공식 코드https://github.com/hyperplane-lab/ACL-GAN
공식 코드Unpaired Image-to-Image Translation using Adversarial Consistency Loss
https://github.com/iamalexkorotin/KernelNeuralOptimalTransport
공식 코드https://github.com/iamalexkorotin/neuraloptimaltransport
공식 코드https://github.com/iamcreateai/cyclevar
공식 코드CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.