6 papers
Verifier-Guided Synthetic Augmentation for 3D Human Shape Generation
Yuexuan Wu, Yang Xiang, Hamid Laga +3
Limited training data diversity constrains generative modeling of 3D human bodies: conservative models remain close to observed examples, whereas exploratory models often violate b…
ConSEAL: Connectivity-Informed Streamline Endpoint Alignment for Diffeomorphic Cortical Registration
Yang Xiang, Martin Cole, Zhengwu Zhang
Cortical surface registration is often driven by local geometric descriptors (e.g., sulcal depth and curvature). While this approach achieves geometric correspondence, it neglects…
StablePDENet: Enhancing Neural Operator Stability through Physics-Informed Residual-Sensitivity Regularization
Chutian Huang, Chang Ma, Kaibo Wang +1
Learning solution operators for differential equations with neural networks has shown great potential in scientific computing, but ensuring their stability under input perturbation…
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
Kaibo Wang, Jianda Mao, Tong Wu +1
Classifier-Free Guidance (CFG) is an essential component of text-to-image diffusion models, and understanding and advancing its operational mechanisms remains a central focus of re…
TweezeEdit: Consistent and Efficient Image Editing with Path Regularization
Jianda Mao, Kaibo Wang, Yang Xiang +1
Large-scale pre-trained diffusion models empower users to edit images through text guidance. However, existing methods often over-align with target prompts while inadequately prese…
Alignment of Continuous Brain Connectivity
Martin Cole, Yang Xiang, Will Consagra +3
Brain networks are typically represented by adjacency matrices, where each node corresponds to a brain region. In traditional brain network analysis, nodes are assumed to be matche…