9 papers · 1 filter
Improving Multi-View Reconstruction via Texture-Guided Gaussian-Mesh Joint Optimization
Zhejia Cai, Puhua Jiang, Shiwei Mao +2
Reconstructing real-world objects from multi-view images is essential for applications in 3D editing, AR/VR, and digital content creation. Existing methods typically prioritize eit…
DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation
Junhao Chen, Mingjin Chen, Jianjin Xu +9
Controllable video generation (CVG) has advanced rapidly, yet current systems falter when more than one actor must move, interact, and exchange positions under noisy control signal…
NFR: Neural Feature-Guided Non-Rigid Shape Registration
Zhangquan Chen, Puhua Jiang, Mingze Sun +1
In this paper, we propose a novel learning-based framework for 3D shape registration, which overcomes the challenges of significant non-rigid deformation and partiality undergoing…
DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters
Mingze Sun, Junhao Chen, Junting Dong +7
Recent advances in generative models have enabled high-quality 3D character reconstruction from multi-modal. However, animating these generated characters remains a challenging tas…
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation
Mingze Sun, Chen Guo, Puhua Jiang +3
In this paper, we propose SRIF, a novel Semantic shape Registration framework based on diffusion-based Image morphing and Flow estimation. More concretely, given a pair of extrinsi…
DV-Matcher: Deformation-based Non-Rigid Point Cloud Matching Guided by Pre-trained Visual Features
Zhangquan Chen, Puhua Jiang, Ruqi Huang
In this paper, we present DV-Matcher, a novel learning-based framework for estimating dense correspondences between non-rigidly deformable point clouds. Learning directly from unst…