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20242026
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cs.CV2026

LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation

Jiazheng Xing, Fei Du, Hangjie Yuan +7

Recent advances in diffusion models have significantly improved text-to-video generation, enabling personalized content creation with fine-grained control over both foreground and…

cs.CV2025

B2N3D: Progressive Learning from Binary to N-ary Relationships for 3D Object Grounding

Feng Xiao, Hongbin Xu, Hai Ci +1

Localizing 3D objects using natural language is essential for robotic scene understanding. The descriptions often involve multiple spatial relationships to distinguish similar obje…

cs.CV2025

LSVG: Language-Guided Scene Graphs with 2D-Assisted Multi-Modal Encoding for 3D Visual Grounding

Feng Xiao, Hongbin Xu, Guocan Zhao +1

3D visual grounding aims to localize the unique target described by natural languages in 3D scenes. The significant gap between 3D and language modalities makes it a notable challe…

cs.CV2025

Cyc3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization

Hongbin Xu, Chaohui Yu, Feng Xiao +5

Despite the remarkable progress of 3D generation, achieving controllability, i.e., ensuring consistency between generated 3D content and input conditions like edge and depth, remai…

cs.CV2024

4DStyleGaussian: Zero-shot 4D Style Transfer with Gaussian Splatting

Wanlin Liang, Hongbin Xu, Weitao Chen +2

3D neural style transfer has gained significant attention for its potential to provide user-friendly stylization with spatial consistency. However, existing 3D style transfer metho…

cs.CV2024

ControLRM: Fast and Controllable 3D Generation via Large Reconstruction Model

Hongbin Xu, Weitao Chen, Zhipeng Zhou +4

Despite recent advancements in 3D generation methods, achieving controllability still remains a challenging issue. Current approaches utilizing score-distillation sampling are hind…

cs.CV2024

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Hongbin Xu, Junduan Huang, Yuer Ma +2

3D biometric techniques on finger traits have become a new trend and have demonstrated a powerful ability for recognition and anti-counterfeiting. Existing methods follow an explic…

cs.CV2024

PhysMamba: State Space Duality Model for Remote Physiological Measurement

Zhixin Yan, Yan Zhong, Hongbin Xu +4

Remote Photoplethysmography (rPPG) enables non-contact physiological signal extraction from facial videos, offering applications in psychological state analysis, medical assistance…