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cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

StarPose: 3D Human Pose Estimation via Spatial-Temporal Autoregressive Diffusion

Haoxin Yang, Weihong Chen, Xuemiao Xu +5

Monocular 3D human pose estimation remains a challenging task due to inherent depth ambiguities and occlusions. Compared to traditional methods based on Transformers or Convolution…

cs.CV2025

ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition

Ronggang Huang, Haoxin Yang, Yan Cai +3

3D visual grounding aims to identify and localize objects in a 3D space based on textual descriptions. However, existing methods struggle with disentangling targets from anchors in…

cs.CV2025

SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose Estimation

Weihong Chen, Xuemiao Xu, Haoxin Yang +5

Existing 3D Human Pose Estimation (HPE) methods achieve high accuracy but suffer from computational overhead and slow inference, while knowledge distillation methods fail to addres…