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cs.CV2025

Topology-Agnostic Animal Motion Generation from Text Prompt

Keyi Chen, Mingze Sun, Zhenyu Liu +2

Motion generation is fundamental to computer animation and widely used across entertainment, robotics, and virtual environments. While recent methods achieve impressive results, mo…

cs.CV2025

Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views

Zhangquan Chen, Manyuan Zhang, Xinlei Yu +8

Though recent advances in vision-language models (VLMs) have achieved remarkable progress across a wide range of multimodal tasks, understanding 3D spatial relationships from limit…

cs.CV2025

SIFThinker: Spatially-Aware Image Focus for Visual Reasoning

Zhangquan Chen, Ruihui Zhao, Chuwei Luo +4

Current multimodal large language models (MLLMs) still face significant challenges in complex visual tasks (e.g., spatial understanding, fine-grained perception). Prior methods hav…

cs.CV2025

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…

cs.CV2025

ARMO: Autoregressive Rigging for Multi-Category Objects

Mingze Sun, Shiwei Mao, Keyi Chen +5

Recent advancements in large-scale generative models have significantly improved the quality and diversity of 3D shape generation. However, most existing methods focus primarily on…

cs.CV2024

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…