3 papers
cs.CV2025
MediQ-GAN: Quantum-Inspired GAN for High Resolution Medical Image Generation
Qingyue Jiao, Yongcan Tang, Jun Zhuang +2
Machine learning-assisted diagnosis shows promise, yet medical imaging datasets are often scarce, imbalanced, and constrained by privacy, making data augmentation essential. Classi…
cs.AI2025
Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation
Kartar Kumar Lohana Tharwani, Rajesh Kumar, Sumita +2
Large language models (LLMs) are beginning to reshape how chemists plan and run reactions in organic synthesis. Trained on millions of reported transformations, these text-based mo…
cs.CV2025
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Xinchen Zhang, Ling Yang, Guohao Li +6
Advanced diffusion models like RPG, Stable Diffusion 3 and FLUX have made notable strides in compositional text-to-image generation. However, these methods typically exhibit distin…