3 papers
cs.LG2026
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization
Xin Ding, Yun Chen, Yongwei Wang +4
Recent advances in continuous conditional generative modeling, including Continuous conditional Generative Adversarial Network (CcGAN) and Continuous Conditional Diffusion Model (C…
cs.CV2026
Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training
Xin Ding, Yun Chen, Sen Zhang +5
Continuous Conditional Diffusion Model (CCDM) is a diffusion-based framework designed to generate high-quality images conditioned on continuous regression labels. Although CCDM has…
cs.CV2025
HiLLIE: Human-in-the-Loop Training for Low-Light Image Enhancement
Xiaorui Zhao, Xinyue Zhou, Peibei Cao +2
Developing effective approaches to generate enhanced results that align well with human visual preferences for high-quality well-lit images remains a challenge in low-light image e…