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20242026
most citedGenerative 3D Part Assembly via Part-Whole-Hierarchy Message Passing

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…