HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance (2023) A high-fidelity text-to-3D generation model with pretrained text-to-image models as prior. Diffusion probabilistic fields (ICLR 2023) A diffusion model that learns distributions over continuous functions defined over metric spaces as fields. Controllable radiance fields for dynamic face synthesis (3DV 2022) A Controllable Radiance Field that can generate dynamic faces and human bodies with user control. EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision (MLHC 2022) A multi-modal X-ray generative model that is trained in a self-supervised way. AMICO: Amodal Instance Composition (BMVC 2021) An image composition model that can blend imperfect objects onto a target image. Controllable GANs for Image Editing via Latent Space Navigation (ICLR 2021) A latent-space image editing work using pretrained Generative Adversarial Networks (GANs). FMRI data augmentation via synthesis (ISBI 2019) A Generative Adversarial Networks (GANs) specifically designed for fMRI brain data augmentation. Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging (Asilomar 2019) A methodological approach to improve statistical analysis in cognitive neuroimaging using generated datasets. Conditional structure generation through graph variational generative adversarial nets (NeurIPS 2019) A variational generative model specifically designed for graphs.