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>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Translation-based Video-to-Video Synthesis
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
GAN with Skip Patch Discriminator for Biological Electron Microscopy Image Generation
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis
High-Resolution Image Translation Model Based on Grayscale Redefinition
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow
Shadow Generation for Composite Image Using Diffusion model
Generalized Consistency Trajectory Models for Image Manipulation
ContourDiff: Unpaired Image-to-Image Translation with Structural Consistency for Medical Imaging
Could We Generate Cytology Images from Histopathology Images? An Empirical Study
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
Versatile Defense Against Adversarial Attacks on Image Recognition
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
Scene Depth Estimation from Traditional Oriental Landscape Paintings
(Un)paired signal-to-signal translation with 1D conditional GANs
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis
Improving Deep Generative Models on Many-To-One Image-to-Image Translation
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
Translating the future: Image-to-image translation for the prediction of future brain metabolism
Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data
Diffusion Model Compression for Image-to-Image Translation
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data
BlenDA: Domain Adaptive Object Detection through diffusion-based blending
E$^{2}$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.