activity
20232026
most citedEnhancing Sound Source Localization via False Negative Elimination

2 citations · 3 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Ocean4D: Generative Underwater 4D Reconstruction via Medium-Aware Video Diffusion

Yuqiang Huang, Yuxi Wang, Junyu Dong +1

Underwater 4D reconstruction remains challenging due to the coupling between degraded light transport in participating media and dynamic water variations. Most existing Methods are…

cs.CV2025

HLG: Comprehensive 3D Room Construction via Hierarchical Layout Generation

Xiping Wang, Yuxi Wang, Mengqi Zhou +2

Realistic 3D indoor scene generation is crucial for virtual reality, interior design, embodied intelligence, and scene understanding. While existing methods have made progress in c…

cs.CV2025

RoomCraft: Controllable and Complete 3D Indoor Scene Generation

Mengqi Zhou, Xipeng Wang, Yuxi Wang +1

Generating realistic 3D indoor scenes from user inputs remains a challenging problem in computer vision and graphics, requiring careful balance of geometric consistency, spatial re…

cs.CV2025

EmoDiffusion: Enhancing Emotional 3D Facial Animation with Latent Diffusion Models

Yixuan Zhang, Qing Chang, Yuxi Wang +3

Speech-driven 3D facial animation seeks to produce lifelike facial expressions that are synchronized with the speech content and its emotional nuances, finding applications in vari…

cs.CV2024

OOD-HOI: Text-Driven 3D Whole-Body Human-Object Interactions Generation Beyond Training Domains

Yixuan Zhang, Hui Yang, Chuanchen Luo +3

Generating realistic 3D human-object interactions (HOIs) from text descriptions is a active research topic with potential applications in virtual and augmented reality, robotics, a…

cs.CV20242 cited

Enhancing Sound Source Localization via False Negative Elimination

Zengjie Song, Jiangshe Zhang, Yuxi Wang +2

Sound source localization aims to localize objects emitting the sound in visual scenes. Recent works obtaining impressive results typically rely on contrastive learning. However, t…