3 papers
cs.CV2023
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment
Ganning Zhao, Wenhui Cui, Suya You +1
Unsupervised image-to-image (I2I) translation learns cross-domain image mapping that transfers input from the source domain to output in the target domain while preserving its sema…
cs.CV2023
A Study on Improving Realism of Synthetic Data for Machine Learning
Tingwei Shen, Ganning Zhao, Suya You
Synthetic-to-real data translation using generative adversarial learning has achieved significant success in improving synthetic data. Yet, limited studies focus on deep evaluation…
cs.CV2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ganning Zhao, Tingwei Shen, Suya You +1
Ensuring the realism of computer-generated synthetic images is crucial to deep neural network (DNN) training. Due to different semantic distributions between synthetic and real-wor…