2 papers
cs.CV2025
Target-Guided Bayesian Flow Networks for Quantitatively Constrained CAD Generation
Wenhao Zheng, Chenwei Sun, Wenbo Zhang +2
Deep generative models, such as diffusion models, have shown promising progress in image generation and audio generation via simplified continuity assumptions. However, the develop…
cs.LG2024
Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation
Peidong Liu, Wenbo Zhang, Wei Ju +2
The paradigm shift toward structure-driven molecule generation has been propelled by advances in deep generative models, such as variational auto-encoders and diffusion models. How…