https://github.com/EndlessSora/TSIT
공식 코드TSIT: A Simple and Versatile Framework for Image-to-Image Translation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
TSIT: A Simple and Versatile Framework for Image-to-Image Translation
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task
Multi-Teacher Knowledge Distillation For Text Image Machine Translation
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Self-Modifying State Modeling for Simultaneous Machine Translation
Uncertainty-Guided Progressive GANs for Medical Image Translation
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
Two-Stream Network for Sign Language Recognition and Translation
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
6D Object Pose Regression via Supervised Learning on Point Clouds
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
Exploring Continuous Integrate-and-Fire for Adaptive Simultaneous Speech Translation
Improving the Transformer Translation Model with Document-Level Context
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Learning Shared Semantic Space for Speech-to-Text Translation
Learning Shared Semantic Space for Speech-to-Text Translation
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
Redefining Machine Translation on Social Network Services with Large Language Models
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
Layout-to-Image Translation with Double Pooling Generative Adversarial Networks
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation
Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.