12 papers
Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning
Monan Sun, Bangzhen Liu, Huaidong Zhang +1
Autoregressive models have emerged as an effective paradigm for point cloud generation. However, most existing approaches rely on heuristic tokenization strategies, such as spatial…
Learn2Chat: Rethinking Dyadic Talking Heads via Interaction-Modulated Monologic Priors
Zikai Huang, Siyue Chen, Xuemiao Xu +4
Dyadic conversational motion generation is essential for realistic interactive digital humans. Existing approaches typically model conversational behaviors within unified dyadic ge…
Beyond Inference Intervention: Identity-Decoupled Diffusion for Face Anonymization
Haoxin Yang, Yihong Lin, Jingdan Kang +4
Face anonymization aims to conceal identity information while preserving non-identity attributes. Mainstream diffusion models rely on inference-time interventions such as negative…
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Yuyang Yu, Zhengwei Chen, Xuemiao Xu +4
3D anomaly detection in point-cloud data is critical for industrial quality control, aiming to identify structural defects with high reliability. However, current memory bank-based…
ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection
Yiliang Chen, Zhixi Li, Cheng Xu +6
Surgical triplet detection is a critical task in surgical video analysis. However, existing datasets like CholecT50 lack precise spatial bounding box annotations, rendering triplet…
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
Haoxin Yang, Bangzhen Liu, Xuemiao Xu +5
The advancement of diffusion models has enhanced the realism of AI-generated content but also raised concerns about misuse, necessitating robust copyright protection and tampering…