Naoki Murata

Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment

SONA: Learning Conditional, Unconditional, and Matching-Aware Discriminator

Concept-TRAK: Understanding how diffusion models learn concepts through concept attribution

Exposing Vulnerabilities in Latent-Noise Diffusion Watermarks

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning

G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation

Mitigating Embedding Collapse in Diffusion Models for Categorical Data