most citedG2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors

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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

Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification

Tuo Xiang, Xuemiao Xu, Bangzhen Liu +3

The rapid growth of 3D digital content necessitates expandable recognition systems for open-world scenarios. However, existing 3D class-incremental learning methods struggle under…

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

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…