1 citations · 2 across the 14 of their papers we have counts for
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InterSing: Explicit Interaction Dynamics for 3D Duet Singing Animation and Beyond
Yihan Zhou, Zikai Huang, Yuyang Yu +3
We present InterSing, a framework for generating realistic 3D head animations for duet singing performances. Unlike solo singing, duet performance requires each singer to balance i…
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…
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…
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…
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…
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…
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…
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
Jingdan Kang, Haoxin Yang, Yan Cai +4
Image generation technology has brought significant advancements across various fields but has also raised concerns about data misuse and potential rights infringements, particular…
RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation
Chenxi Zheng, Yihong Lin, Bangzhen Liu +3
Current text-to-3D generation methods based on score distillation often suffer from geometric inconsistencies, leading to repeated patterns across different poses of 3D assets. Thi…
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors
Haoxin Yang, Xuemiao Xu, Cheng Xu +5
Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving priv…
VrdONE: One-stage Video Visual Relation Detection
Xinjie Jiang, Chenxi Zheng, Xuemiao Xu +4
Video Visual Relation Detection (VidVRD) focuses on understanding how entities interact over time and space in videos, a key step for gaining deeper insights into video scenes beyo…
Rethinking Multi-view Representation Learning via Distilled Disentangling
Guanzhou Ke, Bo Wang, Xiaoli Wang +1
Multi-view representation learning aims to derive robust representations that are both view-consistent and view-specific from diverse data sources. This paper presents an in-depth…