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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

MOC-3D: Manifold-Order Consistency for Text-to-3D Generation

Chenyang Fan, Junshi Cheng, Wen Yang +5

With the burgeoning development of fields such as the Metaverse, Virtual Reality (VR), and Digital Twins, text-to-3D generation has emerged as a research hotspot in both academia a…

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.CV2024

RangeLDM: Fast Realistic LiDAR Point Cloud Generation

Qianjiang Hu, Zhimin Zhang, Wei Hu

Autonomous driving demands high-quality LiDAR data, yet the cost of physical LiDAR sensors presents a significant scaling-up challenge. While recent efforts have explored deep gene…