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cs.LG2026

Disentangling 3D Modeling from Spatial Reasoning

Haoze Sun, Jiequan Cui, Qingshan Xu +1

In this work, we explore an alternative paradigm for spatial reasoning by explicitly disentangling 3D perception from reasoning, rather than jointly acquiring implicit 3D perceptio…

cs.LG2026

Class-frequency Guided Noise Schedule for Diffusion Models

Jiequan Cui, Beier Zhu, Qingshan Xu +3

In this paper, we are the first to examine the correlations between class frequency and the multi-scale noise schedule within diffusion models. For score-based generative models, l…

cs.AI2026

iFLYTEK-Embodied-Omni Technical Report

Yuan Zhang, Jingfei Ni, Guanchen Lu +12

General-purpose embodied agents must understand multimodal instructions, anticipate how their environment will evolve, and produce precise control actions over extended horizons. E…

cs.CV2026

From Uncertainty to Stability and Fidelity: Guiding Sparse-View 3D Gaussian Splatting with Fisher Information

Junbao Zhou, Qingshan Xu, Yuan Zhou +7

3D Gaussian Splatting (3DGS) has emerged as a promising technique for novel view synthesis. However, 3DGS requires dense input views to achieve high-quality rendering. In sparse-vi…

cs.CV2026

NOUS: Video-Driven 3D Human Reaction Generation via Observation-Reaction Mutual Steering

Yuan Zhou, Luanyuan Dai, Yongzhi Li +7

Video-driven 3D human reaction generation aims to synthesize 3D human motion in response to the action observed in a video, playing an important role in interactive multimedia syst…