7 papers
CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation
Zhenyu Sun, Xiaohan Zhang, Qi Liu +1
Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of individual perspectives on scene interpretation. These factors hinder…
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
Yi Yang, Haowen Li, Tianxiang Li +4
Text-to-music generation technology is progressing rapidly, creating new opportunities for musical composition and editing. However, existing music editing methods often fail to pr…
Depth-Consistent 3D Gaussian Splatting via Physical Defocus Modeling and Multi-View Geometric Supervision
Yu Deng, Baozhu Zhao, Junyan Su +2
Three-dimensional reconstruction in scenes with extreme depth variations remains challenging due to inconsistent supervisory signals between near-field and far-field regions. Exist…
TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering
Xiaohan Zhang, Sitong Wang, Yushen Yan +3
High-quality novel view synthesis for large-scale scenes presents a challenging dilemma in 3D computer vision. Existing methods typically partition large scenes into multiple regio…
GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation
Jingfeng Guo, Jinnan Chen, Weikai Chen +6
This work presents GarmentX, a novel framework for generating diverse, high-fidelity, and wearable 3D garments from a single input image. Traditional garment reconstruction methods…
Metamon-GS: Enhancing Representability with Variance-Guided Densification and Light Encoding
Junyan Su, Baozhu Zhao, Xiaohan Zhang +1
The introduction of 3D Gaussian Splatting (3DGS) has advanced novel view synthesis by utilizing Gaussians to represent scenes. Encoding Gaussian point features with anchor embeddin…