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cs.CV2026

GenHOI: Generalized Hand-Object Pose Estimation with Occlusion Awareness

Hui Yang, Wei Sun, Jian Liu +6

Generalized 3D hand-object pose estimation from a single RGB image remains challenging due to the large variations in object appearances and interaction patterns, especially under…

cs.CV2026

Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control

Nhat Le, Daochang Liu, Anh Nguyen +1

We present MSCoT, a multi-scale, coarse-to-fine model for test-time human motion synthesis and control. Unlike recent approaches that rely on multiple iterative denoising/token-pre…

cs.CV2026

Diffusion Masked Pretraining for Dynamic Point Cloud

Zhuoyue Zhang, Jihua Zhu, Chaowei Fang +2

Dynamic point cloud pretraining is still dominated by masked reconstruction objectives. However, these objectives inherit two key limitations. Existing methods inject ground-truth…

cs.CV2026

Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models

Zihao Guo, Jihua Zhu, Jian Liu +1

Pre-trained 3D point cloud foundation models (PFMs) have demonstrated strong transferability across diverse downstream tasks. However, full fine-tuning these models is computationa…

cs.CV2026

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility

Yutong Hao, Chen Chen, Ajmal Saeed Mian +2

Diffusion models can generate realistic videos, but existing methods rely on implicitly learning physical reasoning from large-scale text-video datasets, which is costly, difficult…

cs.CV2026

ARMFlow: AutoRegressive MeanFlow for Online 3D Human Reaction Generation

Zichen Geng, Zeeshan Hayder, Wei Liu +2

3D human reaction generation faces three main challenges:(1) high motion fidelity, (2) real-time inference, and (3) autoregressive adaptability for online scenarios. Existing metho…