1 citations · 1 across the 8 of their papers we have counts for
10 papers
HierGF: Hierarchical Gaussian Fields via Geometry-perception Message Passing for Sparse-view 3D Reconstruction
Bi'an Du, Zhimin Zhang, Daizong Liu +2
Sparse view 3D reconstruction is an important and common scenario in multimedia applications, such as augmented reality/virtual reality (AR/VR) content creation, cultural heritage…
Motion Beyond Morphology: Bootstrapping Cross-Category Motion Transfer from Abstract Motion Representations
Zhixue Fang, Zhimin Zhang, Bi'an Du +6
Video motion transfer aims to animate a target object using dynamics from a reference video. Existing formulations largely rely on fixed structural correspondence, which becomes il…
View-Consistent 3D Scene Editing via Dual-Path Structural Correspondense and Semantic Continuity
Pufan Li, Bi'an Du, Shenghe Zheng +2
Text-driven 3D scene editing has recently attracted increasing attention. Most existing methods follow a render-edit-optimize pipeline, where multi-view images are rendered from a…
From Part to Whole: 3D Generative World Model with an Adaptive Structural Hierarchy
Bi'an Du, Daizong Liu, Pufan Li +1
Single-image 3D generation lies at the core of vision-to-graphics models in the real world. However, it remains a fundamental challenge to achieve reliable generalization across di…
HierOctFusion: Multi-scale Octree-based 3D Shape Generation via Part-Whole-Hierarchy Message Passing
Xinjie Gao, Bi'an Du, Wei Hu
3D content generation remains a fundamental yet challenging task due to the inherent structural complexity of 3D data. While recent octree-based diffusion models offer a promising…
Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer
Zhimin Zhang, Bi'an Du, Caoyuan Ma +2
Animal motion embodies species-specific behavioral habits, making the transfer of motion across categories a critical yet complex task for applications in animation and virtual rea…
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
Pufan Li, Bi'an Du, Wei Hu
Generating realistic 3D objects from single-view images requires natural appearance, 3D consistency, and the ability to capture multiple plausible interpretations of unseen regions…
Multi-scale Latent Point Consistency Models for 3D Shape Generation
Bi'an Du, Wei Hu, Renjie Liao
Consistency Models (CMs) have significantly accelerated the sampling process in diffusion models, yielding impressive results in synthesizing high-resolution images. To explore and…
AugGS: Self-augmented Gaussians with Structural Masks for Sparse-view 3D Reconstruction
Bi'an Du, Lingbei Meng, Wei Hu
Sparse-view 3D reconstruction is a major challenge in computer vision, aiming to create complete three-dimensional models from limited viewing angles. Key obstacles include: 1) a s…
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
Bi'an Du, Xiang Gao, Wei Hu +1
Generative 3D part assembly involves understanding part relationships and predicting their 6-DoF poses for assembling a realistic 3D shape. Prior work often focus on the geometry o…