https://github.com/Alexander-H-Liu/UFDN
공식 코드A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Neural machine translation system for Lezgian, Russian and Azerbaijani languages
Controlling generative models with continuous factors of variations
Multi-Modality Image Super-Resolution using Generative Adversarial Networks
Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation
A test suite of prompt injection attacks for LLM-based machine translation
Deterministic Reversible Data Augmentation for Neural Machine Translation
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Progressive Transformers for End-to-End Sign Language Production
HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology
SITTA: Single Image Texture Translation for Data Augmentation
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Improvement in Sign Language Translation Using Text CTC Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.